├── LICENSE ├── README.md ├── data_helper.py ├── results └── 2019-04-29-15-43-54 │ ├── acc.jpg │ ├── confusion_matrix.jpg │ └── loss.jpg ├── test.py ├── text_cnn.py └── train.py /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. By contrast, 15 | the GNU General Public License is intended to guarantee your freedom to 16 | share and change all versions of a program--to make sure it remains free 17 | software for all its users. We, the Free Software Foundation, use the 18 | GNU General Public License for most of our software; it applies also to 19 | any other work released this way by its authors. You can apply it to 20 | your programs, too. 21 | 22 | When we speak of free software, we are referring to freedom, not 23 | price. Our General Public Licenses are designed to make sure that you 24 | have the freedom to distribute copies of free software (and charge for 25 | them if you wish), that you receive source code or can get it if you 26 | want it, that you can change the software or use pieces of it in new 27 | free programs, and that you know you can do these things. 28 | 29 | To protect your rights, we need to prevent others from denying you 30 | these rights or asking you to surrender the rights. Therefore, you have 31 | certain responsibilities if you distribute copies of the software, or if 32 | you modify it: responsibilities to respect the freedom of others. 33 | 34 | For example, if you distribute copies of such a program, whether 35 | gratis or for a fee, you must pass on to the recipients the same 36 | freedoms that you received. You must make sure that they, too, receive 37 | or can get the source code. And you must show them these terms so they 38 | know their rights. 39 | 40 | Developers that use the GNU GPL protect your rights with two steps: 41 | (1) assert copyright on the software, and (2) offer you this License 42 | giving you legal permission to copy, distribute and/or modify it. 43 | 44 | For the developers' and authors' protection, the GPL clearly explains 45 | that there is no warranty for this free software. For both users' and 46 | authors' sake, the GPL requires that modified versions be marked as 47 | changed, so that their problems will not be attributed erroneously to 48 | authors of previous versions. 49 | 50 | Some devices are designed to deny users access to install or run 51 | modified versions of the software inside them, although the manufacturer 52 | can do so. This is fundamentally incompatible with the aim of 53 | protecting users' freedom to change the software. The systematic 54 | pattern of such abuse occurs in the area of products for individuals to 55 | use, which is precisely where it is most unacceptable. Therefore, we 56 | have designed this version of the GPL to prohibit the practice for those 57 | products. If such problems arise substantially in other domains, we 58 | stand ready to extend this provision to those domains in future versions 59 | of the GPL, as needed to protect the freedom of users. 60 | 61 | Finally, every program is threatened constantly by software patents. 62 | States should not allow patents to restrict development and use of 63 | software on general-purpose computers, but in those that do, we wish to 64 | avoid the special danger that patents applied to a free program could 65 | make it effectively proprietary. To prevent this, the GPL assures that 66 | patents cannot be used to render the program non-free. 67 | 68 | The precise terms and conditions for copying, distribution and 69 | modification follow. 70 | 71 | TERMS AND CONDITIONS 72 | 73 | 0. Definitions. 74 | 75 | "This License" refers to version 3 of the GNU General Public License. 76 | 77 | "Copyright" also means copyright-like laws that apply to other kinds of 78 | works, such as semiconductor masks. 79 | 80 | "The Program" refers to any copyrightable work licensed under this 81 | License. Each licensee is addressed as "you". "Licensees" and 82 | "recipients" may be individuals or organizations. 83 | 84 | To "modify" a work means to copy from or adapt all or part of the work 85 | in a fashion requiring copyright permission, other than the making of an 86 | exact copy. The resulting work is called a "modified version" of the 87 | earlier work or a work "based on" the earlier work. 88 | 89 | A "covered work" means either the unmodified Program or a work based 90 | on the Program. 91 | 92 | To "propagate" a work means to do anything with it that, without 93 | permission, would make you directly or secondarily liable for 94 | infringement under applicable copyright law, except executing it on a 95 | computer or modifying a private copy. Propagation includes copying, 96 | distribution (with or without modification), making available to the 97 | public, and in some countries other activities as well. 98 | 99 | To "convey" a work means any kind of propagation that enables other 100 | parties to make or receive copies. Mere interaction with a user through 101 | a computer network, with no transfer of a copy, is not conveying. 102 | 103 | An interactive user interface displays "Appropriate Legal Notices" 104 | to the extent that it includes a convenient and prominently visible 105 | feature that (1) displays an appropriate copyright notice, and (2) 106 | tells the user that there is no warranty for the work (except to the 107 | extent that warranties are provided), that licensees may convey the 108 | work under this License, and how to view a copy of this License. If 109 | the interface presents a list of user commands or options, such as a 110 | menu, a prominent item in the list meets this criterion. 111 | 112 | 1. Source Code. 113 | 114 | The "source code" for a work means the preferred form of the work 115 | for making modifications to it. "Object code" means any non-source 116 | form of a work. 117 | 118 | A "Standard Interface" means an interface that either is an official 119 | standard defined by a recognized standards body, or, in the case of 120 | interfaces specified for a particular programming language, one that 121 | is widely used among developers working in that language. 122 | 123 | The "System Libraries" of an executable work include anything, other 124 | than the work as a whole, that (a) is included in the normal form of 125 | packaging a Major Component, but which is not part of that Major 126 | Component, and (b) serves only to enable use of the work with that 127 | Major Component, or to implement a Standard Interface for which an 128 | implementation is available to the public in source code form. A 129 | "Major Component", in this context, means a major essential component 130 | (kernel, window system, and so on) of the specific operating system 131 | (if any) on which the executable work runs, or a compiler used to 132 | produce the work, or an object code interpreter used to run it. 133 | 134 | The "Corresponding Source" for a work in object code form means all 135 | the source code needed to generate, install, and (for an executable 136 | work) run the object code and to modify the work, including scripts to 137 | control those activities. However, it does not include the work's 138 | System Libraries, or general-purpose tools or generally available free 139 | programs which are used unmodified in performing those activities but 140 | which are not part of the work. For example, Corresponding Source 141 | includes interface definition files associated with source files for 142 | the work, and the source code for shared libraries and dynamically 143 | linked subprograms that the work is specifically designed to require, 144 | such as by intimate data communication or control flow between those 145 | subprograms and other parts of the work. 146 | 147 | The Corresponding Source need not include anything that users 148 | can regenerate automatically from other parts of the Corresponding 149 | Source. 150 | 151 | The Corresponding Source for a work in source code form is that 152 | same work. 153 | 154 | 2. Basic Permissions. 155 | 156 | All rights granted under this License are granted for the term of 157 | copyright on the Program, and are irrevocable provided the stated 158 | conditions are met. This License explicitly affirms your unlimited 159 | permission to run the unmodified Program. The output from running a 160 | covered work is covered by this License only if the output, given its 161 | content, constitutes a covered work. This License acknowledges your 162 | rights of fair use or other equivalent, as provided by copyright law. 163 | 164 | You may make, run and propagate covered works that you do not 165 | convey, without conditions so long as your license otherwise remains 166 | in force. You may convey covered works to others for the sole purpose 167 | of having them make modifications exclusively for you, or provide you 168 | with facilities for running those works, provided that you comply with 169 | the terms of this License in conveying all material for which you do 170 | not control copyright. Those thus making or running the covered works 171 | for you must do so exclusively on your behalf, under your direction 172 | and control, on terms that prohibit them from making any copies of 173 | your copyrighted material outside their relationship with you. 174 | 175 | Conveying under any other circumstances is permitted solely under 176 | the conditions stated below. Sublicensing is not allowed; section 10 177 | makes it unnecessary. 178 | 179 | 3. Protecting Users' Legal Rights From Anti-Circumvention Law. 180 | 181 | No covered work shall be deemed part of an effective technological 182 | measure under any applicable law fulfilling obligations under article 183 | 11 of the WIPO copyright treaty adopted on 20 December 1996, or 184 | similar laws prohibiting or restricting circumvention of such 185 | measures. 186 | 187 | When you convey a covered work, you waive any legal power to forbid 188 | circumvention of technological measures to the extent such circumvention 189 | is effected by exercising rights under this License with respect to 190 | the covered work, and you disclaim any intention to limit operation or 191 | modification of the work as a means of enforcing, against the work's 192 | users, your or third parties' legal rights to forbid circumvention of 193 | technological measures. 194 | 195 | 4. Conveying Verbatim Copies. 196 | 197 | You may convey verbatim copies of the Program's source code as you 198 | receive it, in any medium, provided that you conspicuously and 199 | appropriately publish on each copy an appropriate copyright notice; 200 | keep intact all notices stating that this License and any 201 | non-permissive terms added in accord with section 7 apply to the code; 202 | keep intact all notices of the absence of any warranty; and give all 203 | recipients a copy of this License along with the Program. 204 | 205 | You may charge any price or no price for each copy that you convey, 206 | and you may offer support or warranty protection for a fee. 207 | 208 | 5. Conveying Modified Source Versions. 209 | 210 | You may convey a work based on the Program, or the modifications to 211 | produce it from the Program, in the form of source code under the 212 | terms of section 4, provided that you also meet all of these conditions: 213 | 214 | a) The work must carry prominent notices stating that you modified 215 | it, and giving a relevant date. 216 | 217 | b) The work must carry prominent notices stating that it is 218 | released under this License and any conditions added under section 219 | 7. This requirement modifies the requirement in section 4 to 220 | "keep intact all notices". 221 | 222 | c) You must license the entire work, as a whole, under this 223 | License to anyone who comes into possession of a copy. This 224 | License will therefore apply, along with any applicable section 7 225 | additional terms, to the whole of the work, and all its parts, 226 | regardless of how they are packaged. This License gives no 227 | permission to license the work in any other way, but it does not 228 | invalidate such permission if you have separately received it. 229 | 230 | d) If the work has interactive user interfaces, each must display 231 | Appropriate Legal Notices; however, if the Program has interactive 232 | interfaces that do not display Appropriate Legal Notices, your 233 | work need not make them do so. 234 | 235 | A compilation of a covered work with other separate and independent 236 | works, which are not by their nature extensions of the covered work, 237 | and which are not combined with it such as to form a larger program, 238 | in or on a volume of a storage or distribution medium, is called an 239 | "aggregate" if the compilation and its resulting copyright are not 240 | used to limit the access or legal rights of the compilation's users 241 | beyond what the individual works permit. Inclusion of a covered work 242 | in an aggregate does not cause this License to apply to the other 243 | parts of the aggregate. 244 | 245 | 6. Conveying Non-Source Forms. 246 | 247 | You may convey a covered work in object code form under the terms 248 | of sections 4 and 5, provided that you also convey the 249 | machine-readable Corresponding Source under the terms of this License, 250 | in one of these ways: 251 | 252 | a) Convey the object code in, or embodied in, a physical product 253 | (including a physical distribution medium), accompanied by the 254 | Corresponding Source fixed on a durable physical medium 255 | customarily used for software interchange. 256 | 257 | b) Convey the object code in, or embodied in, a physical product 258 | (including a physical distribution medium), accompanied by a 259 | written offer, valid for at least three years and valid for as 260 | long as you offer spare parts or customer support for that product 261 | model, to give anyone who possesses the object code either (1) a 262 | copy of the Corresponding Source for all the software in the 263 | product that is covered by this License, on a durable physical 264 | medium customarily used for software interchange, for a price no 265 | more than your reasonable cost of physically performing this 266 | conveying of source, or (2) access to copy the 267 | Corresponding Source from a network server at no charge. 268 | 269 | c) Convey individual copies of the object code with a copy of the 270 | written offer to provide the Corresponding Source. This 271 | alternative is allowed only occasionally and noncommercially, and 272 | only if you received the object code with such an offer, in accord 273 | with subsection 6b. 274 | 275 | d) Convey the object code by offering access from a designated 276 | place (gratis or for a charge), and offer equivalent access to the 277 | Corresponding Source in the same way through the same place at no 278 | further charge. You need not require recipients to copy the 279 | Corresponding Source along with the object code. If the place to 280 | copy the object code is a network server, the Corresponding Source 281 | may be on a different server (operated by you or a third party) 282 | that supports equivalent copying facilities, provided you maintain 283 | clear directions next to the object code saying where to find the 284 | Corresponding Source. Regardless of what server hosts the 285 | Corresponding Source, you remain obligated to ensure that it is 286 | available for as long as needed to satisfy these requirements. 287 | 288 | e) Convey the object code using peer-to-peer transmission, provided 289 | you inform other peers where the object code and Corresponding 290 | Source of the work are being offered to the general public at no 291 | charge under subsection 6d. 292 | 293 | A separable portion of the object code, whose source code is excluded 294 | from the Corresponding Source as a System Library, need not be 295 | included in conveying the object code work. 296 | 297 | A "User Product" is either (1) a "consumer product", which means any 298 | tangible personal property which is normally used for personal, family, 299 | or household purposes, or (2) anything designed or sold for incorporation 300 | into a dwelling. In determining whether a product is a consumer product, 301 | doubtful cases shall be resolved in favor of coverage. For a particular 302 | product received by a particular user, "normally used" refers to a 303 | typical or common use of that class of product, regardless of the status 304 | of the particular user or of the way in which the particular user 305 | actually uses, or expects or is expected to use, the product. A product 306 | is a consumer product regardless of whether the product has substantial 307 | commercial, industrial or non-consumer uses, unless such uses represent 308 | the only significant mode of use of the product. 309 | 310 | "Installation Information" for a User Product means any methods, 311 | procedures, authorization keys, or other information required to install 312 | and execute modified versions of a covered work in that User Product from 313 | a modified version of its Corresponding Source. The information must 314 | suffice to ensure that the continued functioning of the modified object 315 | code is in no case prevented or interfered with solely because 316 | modification has been made. 317 | 318 | If you convey an object code work under this section in, or with, or 319 | specifically for use in, a User Product, and the conveying occurs as 320 | part of a transaction in which the right of possession and use of the 321 | User Product is transferred to the recipient in perpetuity or for a 322 | fixed term (regardless of how the transaction is characterized), the 323 | Corresponding Source conveyed under this section must be accompanied 324 | by the Installation Information. But this requirement does not apply 325 | if neither you nor any third party retains the ability to install 326 | modified object code on the User Product (for example, the work has 327 | been installed in ROM). 328 | 329 | The requirement to provide Installation Information does not include a 330 | requirement to continue to provide support service, warranty, or updates 331 | for a work that has been modified or installed by the recipient, or for 332 | the User Product in which it has been modified or installed. Access to a 333 | network may be denied when the modification itself materially and 334 | adversely affects the operation of the network or violates the rules and 335 | protocols for communication across the network. 336 | 337 | Corresponding Source conveyed, and Installation Information provided, 338 | in accord with this section must be in a format that is publicly 339 | documented (and with an implementation available to the public in 340 | source code form), and must require no special password or key for 341 | unpacking, reading or copying. 342 | 343 | 7. Additional Terms. 344 | 345 | "Additional permissions" are terms that supplement the terms of this 346 | License by making exceptions from one or more of its conditions. 347 | Additional permissions that are applicable to the entire Program shall 348 | be treated as though they were included in this License, to the extent 349 | that they are valid under applicable law. If additional permissions 350 | apply only to part of the Program, that part may be used separately 351 | under those permissions, but the entire Program remains governed by 352 | this License without regard to the additional permissions. 353 | 354 | When you convey a copy of a covered work, you may at your option 355 | remove any additional permissions from that copy, or from any part of 356 | it. (Additional permissions may be written to require their own 357 | removal in certain cases when you modify the work.) You may place 358 | additional permissions on material, added by you to a covered work, 359 | for which you have or can give appropriate copyright permission. 360 | 361 | Notwithstanding any other provision of this License, for material you 362 | add to a covered work, you may (if authorized by the copyright holders of 363 | that material) supplement the terms of this License with terms: 364 | 365 | a) Disclaiming warranty or limiting liability differently from the 366 | terms of sections 15 and 16 of this License; or 367 | 368 | b) Requiring preservation of specified reasonable legal notices or 369 | author attributions in that material or in the Appropriate Legal 370 | Notices displayed by works containing it; or 371 | 372 | c) Prohibiting misrepresentation of the origin of that material, or 373 | requiring that modified versions of such material be marked in 374 | reasonable ways as different from the original version; or 375 | 376 | d) Limiting the use for publicity purposes of names of licensors or 377 | authors of the material; or 378 | 379 | e) Declining to grant rights under trademark law for use of some 380 | trade names, trademarks, or service marks; or 381 | 382 | f) Requiring indemnification of licensors and authors of that 383 | material by anyone who conveys the material (or modified versions of 384 | it) with contractual assumptions of liability to the recipient, for 385 | any liability that these contractual assumptions directly impose on 386 | those licensors and authors. 387 | 388 | All other non-permissive additional terms are considered "further 389 | restrictions" within the meaning of section 10. If the Program as you 390 | received it, or any part of it, contains a notice stating that it is 391 | governed by this License along with a term that is a further 392 | restriction, you may remove that term. If a license document contains 393 | a further restriction but permits relicensing or conveying under this 394 | License, you may add to a covered work material governed by the terms 395 | of that license document, provided that the further restriction does 396 | not survive such relicensing or conveying. 397 | 398 | If you add terms to a covered work in accord with this section, you 399 | must place, in the relevant source files, a statement of the 400 | additional terms that apply to those files, or a notice indicating 401 | where to find the applicable terms. 402 | 403 | Additional terms, permissive or non-permissive, may be stated in the 404 | form of a separately written license, or stated as exceptions; 405 | the above requirements apply either way. 406 | 407 | 8. Termination. 408 | 409 | You may not propagate or modify a covered work except as expressly 410 | provided under this License. Any attempt otherwise to propagate or 411 | modify it is void, and will automatically terminate your rights under 412 | this License (including any patent licenses granted under the third 413 | paragraph of section 11). 414 | 415 | However, if you cease all violation of this License, then your 416 | license from a particular copyright holder is reinstated (a) 417 | provisionally, unless and until the copyright holder explicitly and 418 | finally terminates your license, and (b) permanently, if the copyright 419 | holder fails to notify you of the violation by some reasonable means 420 | prior to 60 days after the cessation. 421 | 422 | Moreover, your license from a particular copyright holder is 423 | reinstated permanently if the copyright holder notifies you of the 424 | violation by some reasonable means, this is the first time you have 425 | received notice of violation of this License (for any work) from that 426 | copyright holder, and you cure the violation prior to 30 days after 427 | your receipt of the notice. 428 | 429 | Termination of your rights under this section does not terminate the 430 | licenses of parties who have received copies or rights from you under 431 | this License. If your rights have been terminated and not permanently 432 | reinstated, you do not qualify to receive new licenses for the same 433 | material under section 10. 434 | 435 | 9. Acceptance Not Required for Having Copies. 436 | 437 | You are not required to accept this License in order to receive or 438 | run a copy of the Program. Ancillary propagation of a covered work 439 | occurring solely as a consequence of using peer-to-peer transmission 440 | to receive a copy likewise does not require acceptance. However, 441 | nothing other than this License grants you permission to propagate or 442 | modify any covered work. These actions infringe copyright if you do 443 | not accept this License. Therefore, by modifying or propagating a 444 | covered work, you indicate your acceptance of this License to do so. 445 | 446 | 10. Automatic Licensing of Downstream Recipients. 447 | 448 | Each time you convey a covered work, the recipient automatically 449 | receives a license from the original licensors, to run, modify and 450 | propagate that work, subject to this License. You are not responsible 451 | for enforcing compliance by third parties with this License. 452 | 453 | An "entity transaction" is a transaction transferring control of an 454 | organization, or substantially all assets of one, or subdividing an 455 | organization, or merging organizations. If propagation of a covered 456 | work results from an entity transaction, each party to that 457 | transaction who receives a copy of the work also receives whatever 458 | licenses to the work the party's predecessor in interest had or could 459 | give under the previous paragraph, plus a right to possession of the 460 | Corresponding Source of the work from the predecessor in interest, if 461 | the predecessor has it or can get it with reasonable efforts. 462 | 463 | You may not impose any further restrictions on the exercise of the 464 | rights granted or affirmed under this License. For example, you may 465 | not impose a license fee, royalty, or other charge for exercise of 466 | rights granted under this License, and you may not initiate litigation 467 | (including a cross-claim or counterclaim in a lawsuit) alleging that 468 | any patent claim is infringed by making, using, selling, offering for 469 | sale, or importing the Program or any portion of it. 470 | 471 | 11. Patents. 472 | 473 | A "contributor" is a copyright holder who authorizes use under this 474 | License of the Program or a work on which the Program is based. The 475 | work thus licensed is called the contributor's "contributor version". 476 | 477 | A contributor's "essential patent claims" are all patent claims 478 | owned or controlled by the contributor, whether already acquired or 479 | hereafter acquired, that would be infringed by some manner, permitted 480 | by this License, of making, using, or selling its contributor version, 481 | but do not include claims that would be infringed only as a 482 | consequence of further modification of the contributor version. For 483 | purposes of this definition, "control" includes the right to grant 484 | patent sublicenses in a manner consistent with the requirements of 485 | this License. 486 | 487 | Each contributor grants you a non-exclusive, worldwide, royalty-free 488 | patent license under the contributor's essential patent claims, to 489 | make, use, sell, offer for sale, import and otherwise run, modify and 490 | propagate the contents of its contributor version. 491 | 492 | In the following three paragraphs, a "patent license" is any express 493 | agreement or commitment, however denominated, not to enforce a patent 494 | (such as an express permission to practice a patent or covenant not to 495 | sue for patent infringement). To "grant" such a patent license to a 496 | party means to make such an agreement or commitment not to enforce a 497 | patent against the party. 498 | 499 | If you convey a covered work, knowingly relying on a patent license, 500 | and the Corresponding Source of the work is not available for anyone 501 | to copy, free of charge and under the terms of this License, through a 502 | publicly available network server or other readily accessible means, 503 | then you must either (1) cause the Corresponding Source to be so 504 | available, or (2) arrange to deprive yourself of the benefit of the 505 | patent license for this particular work, or (3) arrange, in a manner 506 | consistent with the requirements of this License, to extend the patent 507 | license to downstream recipients. "Knowingly relying" means you have 508 | actual knowledge that, but for the patent license, your conveying the 509 | covered work in a country, or your recipient's use of the covered work 510 | in a country, would infringe one or more identifiable patents in that 511 | country that you have reason to believe are valid. 512 | 513 | If, pursuant to or in connection with a single transaction or 514 | arrangement, you convey, or propagate by procuring conveyance of, a 515 | covered work, and grant a patent license to some of the parties 516 | receiving the covered work authorizing them to use, propagate, modify 517 | or convey a specific copy of the covered work, then the patent license 518 | you grant is automatically extended to all recipients of the covered 519 | work and works based on it. 520 | 521 | A patent license is "discriminatory" if it does not include within 522 | the scope of its coverage, prohibits the exercise of, or is 523 | conditioned on the non-exercise of one or more of the rights that are 524 | specifically granted under this License. You may not convey a covered 525 | work if you are a party to an arrangement with a third party that is 526 | in the business of distributing software, under which you make payment 527 | to the third party based on the extent of your activity of conveying 528 | the work, and under which the third party grants, to any of the 529 | parties who would receive the covered work from you, a discriminatory 530 | patent license (a) in connection with copies of the covered work 531 | conveyed by you (or copies made from those copies), or (b) primarily 532 | for and in connection with specific products or compilations that 533 | contain the covered work, unless you entered into that arrangement, 534 | or that patent license was granted, prior to 28 March 2007. 535 | 536 | Nothing in this License shall be construed as excluding or limiting 537 | any implied license or other defenses to infringement that may 538 | otherwise be available to you under applicable patent law. 539 | 540 | 12. No Surrender of Others' Freedom. 541 | 542 | If conditions are imposed on you (whether by court order, agreement or 543 | otherwise) that contradict the conditions of this License, they do not 544 | excuse you from the conditions of this License. If you cannot convey a 545 | covered work so as to satisfy simultaneously your obligations under this 546 | License and any other pertinent obligations, then as a consequence you may 547 | not convey it at all. For example, if you agree to terms that obligate you 548 | to collect a royalty for further conveying from those to whom you convey 549 | the Program, the only way you could satisfy both those terms and this 550 | License would be to refrain entirely from conveying the Program. 551 | 552 | 13. Use with the GNU Affero General Public License. 553 | 554 | Notwithstanding any other provision of this License, you have 555 | permission to link or combine any covered work with a work licensed 556 | under version 3 of the GNU Affero General Public License into a single 557 | combined work, and to convey the resulting work. The terms of this 558 | License will continue to apply to the part which is the covered work, 559 | but the special requirements of the GNU Affero General Public License, 560 | section 13, concerning interaction through a network will apply to the 561 | combination as such. 562 | 563 | 14. Revised Versions of this License. 564 | 565 | The Free Software Foundation may publish revised and/or new versions of 566 | the GNU General Public License from time to time. Such new versions will 567 | be similar in spirit to the present version, but may differ in detail to 568 | address new problems or concerns. 569 | 570 | Each version is given a distinguishing version number. If the 571 | Program specifies that a certain numbered version of the GNU General 572 | Public License "or any later version" applies to it, you have the 573 | option of following the terms and conditions either of that numbered 574 | version or of any later version published by the Free Software 575 | Foundation. If the Program does not specify a version number of the 576 | GNU General Public License, you may choose any version ever published 577 | by the Free Software Foundation. 578 | 579 | If the Program specifies that a proxy can decide which future 580 | versions of the GNU General Public License can be used, that proxy's 581 | public statement of acceptance of a version permanently authorizes you 582 | to choose that version for the Program. 583 | 584 | Later license versions may give you additional or different 585 | permissions. However, no additional obligations are imposed on any 586 | author or copyright holder as a result of your choosing to follow a 587 | later version. 588 | 589 | 15. Disclaimer of Warranty. 590 | 591 | THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY 592 | APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT 593 | HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY 594 | OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, 595 | THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 596 | PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM 597 | IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF 598 | ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 599 | 600 | 16. Limitation of Liability. 601 | 602 | IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING 603 | WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS 604 | THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY 605 | GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE 606 | USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF 607 | DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD 608 | PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), 609 | EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF 610 | SUCH DAMAGES. 611 | 612 | 17. Interpretation of Sections 15 and 16. 613 | 614 | If the disclaimer of warranty and limitation of liability provided 615 | above cannot be given local legal effect according to their terms, 616 | reviewing courts shall apply local law that most closely approximates 617 | an absolute waiver of all civil liability in connection with the 618 | Program, unless a warranty or assumption of liability accompanies a 619 | copy of the Program in return for a fee. 620 | 621 | END OF TERMS AND CONDITIONS 622 | 623 | How to Apply These Terms to Your New Programs 624 | 625 | If you develop a new program, and you want it to be of the greatest 626 | possible use to the public, the best way to achieve this is to make it 627 | free software which everyone can redistribute and change under these terms. 628 | 629 | To do so, attach the following notices to the program. It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # TextCNN 2 | TextCNN by TensorFlow 2.0.0 ( tf.keras mainly ). 3 | ## Software environments 4 | 1. tensorflow-gpu 2.0.0-alpha0 5 | 2. python 3.6.7 6 | 3. pandas 0.24.2 7 | 4. numpy 1.16.2 8 | 9 | ## Data 10 | - Vocabulary size: 3407 11 | - Number of classes: 18 12 | - Train/Test split: 20351/2261 13 | 14 | ## Model architecture 15 | ``` 16 | Model: "model" 17 | __________________________________________________________________________________________________ 18 | Layer (type) Output Shape Param # Connected to 19 | ================================================================================================== 20 | input_data (InputLayer) [(None, 128)] 0 21 | __________________________________________________________________________________________________ 22 | embedding (Embedding) (None, 128, 512) 1744384 input_data[0][0] 23 | __________________________________________________________________________________________________ 24 | add_channel (Reshape) (None, 128, 512, 1) 0 embedding[0][0] 25 | __________________________________________________________________________________________________ 26 | convolution_3 (Conv2D) (None, 126, 1, 128) 196736 add_channel[0][0] 27 | __________________________________________________________________________________________________ 28 | convolution_4 (Conv2D) (None, 125, 1, 128) 262272 add_channel[0][0] 29 | __________________________________________________________________________________________________ 30 | convolution_5 (Conv2D) (None, 124, 1, 128) 327808 add_channel[0][0] 31 | __________________________________________________________________________________________________ 32 | max_pooling_3 (MaxPooling2D) (None, 1, 1, 128) 0 convolution_3[0][0] 33 | __________________________________________________________________________________________________ 34 | max_pooling_4 (MaxPooling2D) (None, 1, 1, 128) 0 convolution_4[0][0] 35 | __________________________________________________________________________________________________ 36 | max_pooling_5 (MaxPooling2D) (None, 1, 1, 128) 0 convolution_5[0][0] 37 | __________________________________________________________________________________________________ 38 | concatenate (Concatenate) (None, 1, 1, 384) 0 max_pooling_3[0][0] 39 | max_pooling_4[0][0] 40 | max_pooling_5[0][0] 41 | __________________________________________________________________________________________________ 42 | flatten (Flatten) (None, 384) 0 concatenate[0][0] 43 | __________________________________________________________________________________________________ 44 | dropout (Dropout) (None, 384) 0 flatten[0][0] 45 | __________________________________________________________________________________________________ 46 | dense (Dense) (None, 18) 6930 dropout[0][0] 47 | ================================================================================================== 48 | Total params: 2,538,130 49 | Trainable params: 2,538,130 50 | Non-trainable params: 0 51 | __________________________________________________________________________________________________ 52 | ``` 53 | 54 | ## Model parameters 55 | - Padding size: 128 56 | - Embedding size: 512 57 | - Num channel: 1 58 | - Filter size: [3, 4, 5] 59 | - Num filters: 128 60 | - Dropout rate: 0.5 61 | - Regularizers lambda: 0.01 62 | - Batch size: 64 63 | - Epochs: 10 64 | - Fraction validation: 0.05 (1018 samples) 65 | - Total parameters: 2,538,130 66 | 67 | ## Run 68 | ### Train result 69 | Use 20351 samples after 10 epochs: 70 | 71 | | Loss | Accuracy | Val loss | Val accuracy | 72 | | --- | --- | --- | --- | 73 | | 0.1609 | 0.9683 | 0.3648 | 0.9185 | 74 | ### Test result 75 | Use 2261 samples: 76 | 77 | | Accuracy | Macro-Precision | Macro-Recall | Macro-F1 | 78 | | --- | --- | --- | --- | 79 | | 0.9363 | 0.9428 | 0.9310 | **0.9360** | 80 | ### Images 81 | #### Accuracy 82 | ![Accuracy](https://github.com/ShaneTian/TextCNN/blob/master/results/2019-04-29-15-43-54/acc.jpg) 83 | #### Loss 84 | ![Loss](https://github.com/ShaneTian/TextCNN/blob/master/results/2019-04-29-15-43-54/loss.jpg) 85 | #### Confusion matrix 86 | ![Confusion matrix](https://github.com/ShaneTian/TextCNN/blob/master/results/2019-04-29-15-43-54/confusion_matrix.jpg) 87 | 88 | ### Usage 89 | ``` 90 | usage: train.py [-h] [-t TEST_SAMPLE_PERCENTAGE] [-p PADDING_SIZE] 91 | [-e EMBED_SIZE] [-f FILTER_SIZES] [-n NUM_FILTERS] 92 | [-d DROPOUT_RATE] [-c NUM_CLASSES] [-l REGULARIZERS_LAMBDA] 93 | [-b BATCH_SIZE] [--epochs EPOCHS] 94 | [--fraction_validation FRACTION_VALIDATION] 95 | [--results_dir RESULTS_DIR] 96 | 97 | This is the TextCNN train project. 98 | 99 | optional arguments: 100 | -h, --help show this help message and exit 101 | -t TEST_SAMPLE_PERCENTAGE, --test_sample_percentage TEST_SAMPLE_PERCENTAGE 102 | The fraction of test data.(default=0.1) 103 | -p PADDING_SIZE, --padding_size PADDING_SIZE 104 | Padding size of sentences.(default=128) 105 | -e EMBED_SIZE, --embed_size EMBED_SIZE 106 | Word embedding size.(default=512) 107 | -f FILTER_SIZES, --filter_sizes FILTER_SIZES 108 | Convolution kernel sizes.(default=3,4,5) 109 | -n NUM_FILTERS, --num_filters NUM_FILTERS 110 | Number of each convolution kernel.(default=128) 111 | -d DROPOUT_RATE, --dropout_rate DROPOUT_RATE 112 | Dropout rate in softmax layer.(default=0.5) 113 | -c NUM_CLASSES, --num_classes NUM_CLASSES 114 | Number of target classes.(default=18) 115 | -l REGULARIZERS_LAMBDA, --regularizers_lambda REGULARIZERS_LAMBDA 116 | L2 regulation parameter.(default=0.01) 117 | -b BATCH_SIZE, --batch_size BATCH_SIZE 118 | Mini-Batch size.(default=64) 119 | --epochs EPOCHS Number of epochs.(default=10) 120 | --fraction_validation FRACTION_VALIDATION 121 | The fraction of validation.(default=0.05) 122 | --results_dir RESULTS_DIR 123 | The results dir including log, model, vocabulary and 124 | some images.(default=./results/) 125 | ``` 126 | 127 | ``` 128 | usage: test.py [-h] [-p PADDING_SIZE] [-c NUM_CLASSES] results_dir 129 | 130 | This is the TextCNN test project. 131 | 132 | positional arguments: 133 | results_dir The results dir including log, model, vocabulary and 134 | some images. 135 | 136 | optional arguments: 137 | -h, --help show this help message and exit 138 | -p PADDING_SIZE, --padding_size PADDING_SIZE 139 | Padding size of sentences.(default=128) 140 | -c NUM_CLASSES, --num_classes NUM_CLASSES 141 | Number of target classes.(default=18) 142 | ``` 143 | #### You need to know... 144 | 1. You need to alter `load_data_and_write_to_file` function in `data_helper.py` to match you data file; 145 | 2. This code used single channel input, you can use two channels from embedding vector, one is static and the other is dynamic. Maybe it is greater; 146 | 3. The model is saved by `hdf5` file; 147 | 4. Tensorboard is available. -------------------------------------------------------------------------------- /data_helper.py: -------------------------------------------------------------------------------- 1 | import re 2 | import pandas as pd 3 | import csv 4 | from tensorflow.keras import preprocessing 5 | import numpy as np 6 | import json 7 | 8 | 9 | def text_preprocess(text): 10 | """ 11 | Clean and segment the text. 12 | Return a new text. 13 | """ 14 | text = re.sub(r"[\d+\s+\.!\/_,?=\$%\^\)*\(\+\"\'\+——！:；，。？、~@#%……&*（）·¥\-\|\\《》〈〉～]", 15 | "", text) 16 | text = re.sub("[<>]", "", text) 17 | text = re.sub("[a-zA-Z0-9]", "", text) 18 | text = re.sub(r"\s", "", text) 19 | if not text: 20 | return '' 21 | return ' '.join(string for string in text) 22 | 23 | 24 | def load_data_and_write_to_file(data_file, train_data_file, test_data_file, test_sample_percentage): 25 | """ 26 | Loads xlsx from files, splits the data to train and test data, write them to file. 27 | """ 28 | # Load and clean data from files 29 | case_type = ['民事案件', '刑事案件', '行政案件', '赔偿案件', '执行案件'] 30 | df = pd.read_excel(data_file, sheet_name=case_type, usecols=[3, 5], dtype=str) 31 | x_text, y = [], [] 32 | for each_case_type in case_type: 33 | x_text += df[each_case_type]["自然段正文"].tolist() 34 | y += df[each_case_type]["正确分段标记"].tolist() 35 | x_new = [] 36 | empty_idx = [] 37 | for idx, each_text in enumerate(x_text): 38 | tmp = text_preprocess(each_text) 39 | if tmp: 40 | x_new.append(tmp) 41 | else: 42 | empty_idx.append(idx) 43 | 44 | # Generate labels 45 | y_new = [] 46 | for idx, label in enumerate(y): 47 | if idx in empty_idx: 48 | continue 49 | label = label.split('，')[0] 50 | if label == '99': 51 | y_new.append(0) 52 | else: 53 | y_new.append(int(label)) 54 | 55 | # Shuffle data and split data to train and test 56 | np.random.seed(323) 57 | np.random.shuffle(x_new) 58 | np.random.seed(323) 59 | np.random.shuffle(y_new) 60 | test_sample_index = -1 * int(test_sample_percentage * len(y_new)) 61 | x_train, x_test = x_new[:test_sample_index], x_new[test_sample_index:] 62 | y_train, y_test = y_new[:test_sample_index], y_new[test_sample_index:] 63 | 64 | # Write to CSV file 65 | with open(train_data_file, 'w', newline='', encoding='utf-8-sig') as f: 66 | print('Write train data to {} ...'.format(train_data_file)) 67 | writer = csv.writer(f) 68 | writer.writerows(zip(x_train, y_train)) 69 | with open(test_data_file, 'w', newline='', encoding='utf-8-sig') as f: 70 | print('Write test data to {} ...'.format(test_data_file)) 71 | writer = csv.writer(f) 72 | writer.writerows(zip(x_test, y_test)) 73 | 74 | 75 | def preprocess(data_file, vocab_file, padding_size, test=False): 76 | """ 77 | Text to sequence, compute vocabulary size, padding sequence. 78 | Return sequence and label. 79 | """ 80 | print("Loading data from {} ...".format(data_file)) 81 | df = pd.read_csv(data_file, header=None, names=["x_text", "y_label"]) 82 | x_text, y = df["x_text"].tolist(), df["y_label"].tolist() 83 | 84 | if not test: 85 | # Texts to sequences 86 | text_preprocesser = preprocessing.text.Tokenizer(oov_token="") 87 | text_preprocesser.fit_on_texts(x_text) 88 | x = text_preprocesser.texts_to_sequences(x_text) 89 | word_dict = text_preprocesser.word_index 90 | json.dump(word_dict, open(vocab_file, 'w'), ensure_ascii=False) 91 | vocab_size = len(word_dict) 92 | # max_doc_length = max([len(each_text) for each_text in x]) 93 | x = preprocessing.sequence.pad_sequences(x, maxlen=padding_size, 94 | padding='post', truncating='post') 95 | print("Vocabulary size: {:d}".format(vocab_size)) 96 | print("Shape of train data: {}".format(np.shape(x))) 97 | return x, y, vocab_size 98 | else: 99 | word_dict = json.load(open(vocab_file, 'r')) 100 | vocabulary = word_dict.keys() 101 | x = [[word_dict[each_word] if each_word in vocabulary else 1 for each_word in each_sentence.split()] for each_sentence in x_text] 102 | x = preprocessing.sequence.pad_sequences(x, maxlen=padding_size, 103 | padding='post', truncating='post') 104 | print("Shape of test data: {}\n".format(np.shape(x))) 105 | return x, y 106 | -------------------------------------------------------------------------------- /results/2019-04-29-15-43-54/acc.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ShaneTian/TextCNN/468a34f5f6a9b71abfe6d79056d6e97491bee119/results/2019-04-29-15-43-54/acc.jpg -------------------------------------------------------------------------------- /results/2019-04-29-15-43-54/confusion_matrix.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ShaneTian/TextCNN/468a34f5f6a9b71abfe6d79056d6e97491bee119/results/2019-04-29-15-43-54/confusion_matrix.jpg -------------------------------------------------------------------------------- /results/2019-04-29-15-43-54/loss.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ShaneTian/TextCNN/468a34f5f6a9b71abfe6d79056d6e97491bee119/results/2019-04-29-15-43-54/loss.jpg -------------------------------------------------------------------------------- /test.py: -------------------------------------------------------------------------------- 1 | import argparse 2 | from data_helper import preprocess 3 | from tensorflow.keras.models import load_model 4 | import tensorflow as tf 5 | import numpy as np 6 | from sklearn.metrics import confusion_matrix, accuracy_score, classification_report 7 | from sklearn.utils.multiclass import unique_labels 8 | import matplotlib.pyplot as plt 9 | import os 10 | 11 | 12 | def plot_confusion_matrix(y_true, y_pred, classes, 13 | normalize=False, 14 | title=None, 15 | cmap=plt.cm.Blues): 16 | """ 17 | This function prints and plots the confusion matrix. 18 | Normalization can be applied by setting `normalize=True`. 19 | """ 20 | if not title: 21 | if normalize: 22 | title = 'Normalized confusion matrix' 23 | else: 24 | title = 'Confusion matrix, without normalization' 25 | 26 | # Compute confusion matrix 27 | cm = confusion_matrix(y_true, y_pred) 28 | # Only use the labels that appear in the data 29 | classes = classes[unique_labels(y_true, y_pred)] 30 | if normalize: 31 | cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis] 32 | print("Normalized confusion matrix") 33 | else: 34 | print('Confusion matrix, without normalization') 35 | 36 | print(cm) 37 | 38 | fig, ax = plt.subplots() 39 | im = ax.imshow(cm, interpolation='nearest', cmap=cmap) 40 | ax.figure.colorbar(im, ax=ax) 41 | # We want to show all ticks... 42 | ax.set(xticks=np.arange(cm.shape[1]), 43 | yticks=np.arange(cm.shape[0]), 44 | # ... and label them with the respective list entries 45 | xticklabels=classes, yticklabels=classes, 46 | title=title, 47 | ylabel='True label', 48 | xlabel='Predicted label') 49 | 50 | # Rotate the tick labels and set their alignment. 51 | plt.setp(ax.get_xticklabels(), rotation=45, ha="right", 52 | rotation_mode="anchor") 53 | 54 | # Loop over data dimensions and create text annotations. 55 | fmt = '.2f' if normalize else 'd' 56 | thresh = cm.max() / 2. 57 | for i in range(cm.shape[0]): 58 | for j in range(cm.shape[1]): 59 | ax.text(j, i, format(cm[i, j], fmt), 60 | ha="center", va="center", 61 | color="white" if cm[i, j] > thresh else "black") 62 | fig.tight_layout() 63 | return ax 64 | 65 | 66 | def test(model, x_test, y_test): 67 | print("Test...") 68 | y_pred_one_hot = model.predict(x=x_test, batch_size=1, verbose=1) 69 | y_pred = tf.math.argmax(y_pred_one_hot, axis=1) 70 | 71 | plot_confusion_matrix(y_test, y_pred, np.arange(args.num_classes)) 72 | plt.savefig(os.path.join(args.results_dir, "confusion_matrix.pdf")) 73 | 74 | print('\nTest accuracy: {}\n'.format(accuracy_score(y_test, y_pred))) 75 | print('Classification report:') 76 | target_names = ['class {:d}'.format(i) for i in np.arange(args.num_classes)] 77 | print(classification_report(y_test, y_pred, target_names=target_names, digits=4)) 78 | 79 | 80 | if __name__ == '__main__': 81 | parser = argparse.ArgumentParser(description='This is the TextCNN test project.') 82 | parser.add_argument('results_dir', type=str, help='The results dir including log, model, vocabulary and some images.') 83 | parser.add_argument('-p', '--padding_size', default=128, type=int, help='Padding size of sentences.(default=128)') 84 | parser.add_argument('-c', '--num_classes', default=18, type=int, help='Number of target classes.(default=18)') 85 | args = parser.parse_args() 86 | print('Parameters:', args) 87 | 88 | x_test, y_test = preprocess("./data/test_data.csv", os.path.join(args.results_dir, "vocab.json"), 89 | args.padding_size, test=True) 90 | print("Loading model...") 91 | model = load_model(os.path.join(args.results_dir, 'TextCNN.h5')) 92 | test(model, x_test, y_test) 93 | -------------------------------------------------------------------------------- /text_cnn.py: -------------------------------------------------------------------------------- 1 | from tensorflow import keras 2 | 3 | 4 | def TextCNN(vocab_size, feature_size, embed_size, num_classes, num_filters, 5 | filter_sizes, regularizers_lambda, dropout_rate): 6 | inputs = keras.Input(shape=(feature_size,), name='input_data') 7 | embed_initer = keras.initializers.RandomUniform(minval=-1, maxval=1) 8 | embed = keras.layers.Embedding(vocab_size, embed_size, 9 | embeddings_initializer=embed_initer, 10 | input_length=feature_size, 11 | name='embedding')(inputs) 12 | # single channel. If using real embedding, you can set one static 13 | embed = keras.layers.Reshape((feature_size, embed_size, 1), name='add_channel')(embed) 14 | 15 | pool_outputs = [] 16 | for filter_size in list(map(int, filter_sizes.split(','))): 17 | filter_shape = (filter_size, embed_size) 18 | conv = keras.layers.Conv2D(num_filters, filter_shape, strides=(1, 1), padding='valid', 19 | data_format='channels_last', activation='relu', 20 | kernel_initializer='glorot_normal', 21 | bias_initializer=keras.initializers.constant(0.1), 22 | name='convolution_{:d}'.format(filter_size))(embed) 23 | max_pool_shape = (feature_size - filter_size + 1, 1) 24 | pool = keras.layers.MaxPool2D(pool_size=max_pool_shape, 25 | strides=(1, 1), padding='valid', 26 | data_format='channels_last', 27 | name='max_pooling_{:d}'.format(filter_size))(conv) 28 | pool_outputs.append(pool) 29 | 30 | pool_outputs = keras.layers.concatenate(pool_outputs, axis=-1, name='concatenate') 31 | pool_outputs = keras.layers.Flatten(data_format='channels_last', name='flatten')(pool_outputs) 32 | pool_outputs = keras.layers.Dropout(dropout_rate, name='dropout')(pool_outputs) 33 | 34 | outputs = keras.layers.Dense(num_classes, activation='softmax', 35 | kernel_initializer='glorot_normal', 36 | bias_initializer=keras.initializers.constant(0.1), 37 | kernel_regularizer=keras.regularizers.l2(regularizers_lambda), 38 | bias_regularizer=keras.regularizers.l2(regularizers_lambda), 39 | name='dense')(pool_outputs) 40 | model = keras.Model(inputs=inputs, outputs=outputs) 41 | return model 42 | -------------------------------------------------------------------------------- /train.py: -------------------------------------------------------------------------------- 1 | import argparse 2 | import os 3 | import data_helper 4 | from text_cnn import TextCNN 5 | from tensorflow import keras 6 | import tensorflow as tf 7 | from pprint import pprint 8 | import time 9 | 10 | 11 | def train(x_train, y_train, vocab_size, feature_size, save_path): 12 | print("\nTrain...") 13 | model = TextCNN(vocab_size, feature_size, args.embed_size, args.num_classes, 14 | args.num_filters, args.filter_sizes, args.regularizers_lambda, args.dropout_rate) 15 | model.summary() 16 | parallel_model = keras.utils.multi_gpu_model(model, gpus=2) 17 | parallel_model.compile(tf.optimizers.Adam(), loss='categorical_crossentropy', 18 | metrics=['accuracy']) 19 | keras.utils.plot_model(model, show_shapes=True, to_file=os.path.join(args.results_dir, timestamp, "model.pdf")) 20 | y_train = tf.one_hot(y_train, args.num_classes) 21 | tb_callback = keras.callbacks.TensorBoard(os.path.join(args.results_dir, timestamp, 'log/'), 22 | histogram_freq=0.1, write_graph=True, 23 | write_grads=True, write_images=True, 24 | embeddings_freq=0.5, update_freq='batch') 25 | history = parallel_model.fit(x=x_train, y=y_train, batch_size=args.batch_size, epochs=args.epochs, 26 | callbacks=[tb_callback], validation_split=args.fraction_validation, shuffle=True) 27 | print("\nSaving model...") 28 | keras.models.save_model(model, save_path) 29 | pprint(history.history) 30 | 31 | 32 | if __name__ == '__main__': 33 | parser = argparse.ArgumentParser(description='This is the TextCNN train project.') 34 | parser.add_argument('-t', '--test_sample_percentage', default=0.1, type=float, help='The fraction of test data.(default=0.1)') 35 | parser.add_argument('-p', '--padding_size', default=128, type=int, help='Padding size of sentences.(default=128)') 36 | parser.add_argument('-e', '--embed_size', default=512, type=int, help='Word embedding size.(default=512)') 37 | parser.add_argument('-f', '--filter_sizes', default='3,4,5', help='Convolution kernel sizes.(default=3,4,5)') 38 | parser.add_argument('-n', '--num_filters', default=128, type=int, help='Number of each convolution kernel.(default=128)') 39 | parser.add_argument('-d', '--dropout_rate', default=0.5, type=float, help='Dropout rate in softmax layer.(default=0.5)') 40 | parser.add_argument('-c', '--num_classes', default=18, type=int, help='Number of target classes.(default=18)') 41 | parser.add_argument('-l', '--regularizers_lambda', default=0.01, type=float, help='L2 regulation parameter.(default=0.01)') 42 | parser.add_argument('-b', '--batch_size', default=64, type=int, help='Mini-Batch size.(default=64)') 43 | parser.add_argument('--epochs', default=10, type=int, help='Number of epochs.(default=10)') 44 | parser.add_argument('--fraction_validation', default=0.05, type=float, help='The fraction of validation.(default=0.05)') 45 | parser.add_argument('--results_dir', default='./results/', type=str, help='The results dir including log, model, vocabulary and some images.(default=./results/)') 46 | args = parser.parse_args() 47 | print('Parameters:', args, '\n') 48 | 49 | if not os.path.exists(args.results_dir): 50 | os.mkdir(args.results_dir) 51 | timestamp = time.strftime("%Y-%m-%d-%H-%M", time.localtime(time.time())) 52 | os.mkdir(os.path.join(args.results_dir, timestamp)) 53 | os.mkdir(os.path.join(args.results_dir, timestamp, 'log/')) 54 | 55 | if not os.path.exists("./data/train_data.csv") or not os.path.exists("./data/test_data.csv"): 56 | data_helper.load_data_and_write_to_file("./data/fenduan_clean.xlsx", "./data/train_data.csv", 57 | "./data/test_data.csv", args.test_sample_percentage) 58 | 59 | x_train, y_train, vocab_size = data_helper.preprocess("./data/train_data.csv", 60 | os.path.join(args.results_dir, timestamp, "vocab.json"), 61 | args.padding_size) 62 | train(x_train, y_train, vocab_size, args.padding_size, os.path.join(args.results_dir, timestamp, 'TextCNN.h5')) 63 | --------------------------------------------------------------------------------