├── .circleci └── config.yml ├── .github └── workflows │ └── publish-to-pypi.yml ├── .gitignore ├── .readthedocs.yml ├── LICENSE ├── MANIFEST.in ├── README.md ├── docs ├── Makefile ├── codes.rst ├── conf.py ├── faq.rst ├── images │ ├── nnlib_clstm.png │ └── nnlib_cnn.png ├── index.rst ├── install.rst ├── intro.rst ├── links.rst ├── news.rst ├── refs.rst ├── requirements.txt ├── requirements_minimal.txt ├── scripts.rst ├── tutorial.rst ├── tutorial_charbaseonehot.rst ├── tutorial_charbaseseq2seq.rst ├── tutorial_dataprep.rst ├── tutorial_dtm.rst ├── tutorial_maxent.rst ├── tutorial_metrics.rst ├── tutorial_nnlib.rst ├── tutorial_spell.rst ├── tutorial_stacking.rst ├── tutorial_sumvec.rst ├── tutorial_textpreprocessing.rst ├── tutorial_topic.rst └── tutorial_wordembed.rst ├── examples └── sakaguchi_spell │ ├── binarize.py │ └── sakaguchi.py ├── pyproject.toml ├── src └── shorttext │ ├── __init__.py │ ├── classifiers │ ├── __init__.py │ ├── bow │ │ ├── __init__.py │ │ ├── maxent │ │ │ ├── MaxEntClassification.py │ │ │ └── __init__.py │ │ └── topic │ │ │ ├── SkLearnClassification.py │ │ │ ├── TopicVectorDistanceClassification.py │ │ │ └── __init__.py │ └── embed │ │ ├── __init__.py │ │ ├── nnlib │ │ ├── VarNNEmbedVecClassification.py │ │ ├── __init__.py │ │ └── frameworks.py │ │ └── sumvec │ │ ├── SumEmbedVecClassification.py │ │ ├── VarNNSumEmbedVecClassification.py │ │ ├── __init__.py │ │ └── frameworks.py │ ├── cli │ ├── __init__.py │ ├── categorization.py │ └── wordembedsim.py │ ├── data │ ├── __init__.py │ ├── data_retrieval.py │ └── shorttext_exampledata.csv │ ├── generators │ ├── __init__.py │ ├── bow │ │ ├── AutoEncodingTopicModeling.py │ │ ├── GensimTopicModeling.py │ │ ├── LatentTopicModeling.py │ │ └── __init__.py │ ├── charbase │ │ ├── __init__.py │ │ └── char2vec.py │ └── seq2seq │ │ ├── __init__.py │ │ ├── charbaseS2S.py │ │ └── s2skeras.py │ ├── metrics │ ├── __init__.py │ ├── dynprog │ │ ├── __init__.py │ │ ├── dldist.py │ │ ├── jaccard.py │ │ └── lcp.py │ ├── embedfuzzy │ │ ├── __init__.py │ │ └── jaccard.py │ └── wasserstein │ │ ├── __init__.py │ │ └── wordmoverdist.py │ ├── smartload.py │ ├── spell │ ├── __init__.py │ ├── basespellcorrector.py │ ├── editor.py │ └── norvig.py │ ├── stack │ ├── __init__.py │ └── stacking.py │ └── utils │ ├── __init__.py │ ├── classification_exceptions.py │ ├── compactmodel_io.py │ ├── dtm.py │ ├── gensim_corpora.py │ ├── kerasmodel_io.py │ ├── misc.py │ ├── nonneg_stopwords.txt │ ├── stopwords.txt │ ├── textpreprocessing.py │ └── wordembed.py └── test ├── __init__.py ├── test_charonehot.py ├── test_dtm.py ├── test_fuzzylogic.py ├── test_norvigspell.py ├── test_stacking.py ├── test_textpreprocessing.py ├── test_var_nn_embedded_vec_classifier.py └── test_wmd.py /.circleci/config.yml: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/stephenhky/PyShortTextCategorization/HEAD/.circleci/config.yml 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