├── .gitattributes
├── .idea
├── inspectionProfiles
│ └── profiles_settings.xml
├── misc.xml
├── modules.xml
├── sentiment_analysis.iml
├── vcs.xml
└── workspace.xml
├── README.md
├── db.sqlite3
├── manage.py
├── my_model.h5
├── requirements.txt
├── sentiment_analysis
├── __init__.py
├── __pycache__
│ ├── __init__.cpython-37.pyc
│ ├── settings.cpython-37.pyc
│ ├── tools.cpython-37.pyc
│ ├── urls.cpython-37.pyc
│ ├── views.cpython-37.pyc
│ └── wsgi.cpython-37.pyc
├── settings.py
├── tests.py
├── tools.py
├── urls.py
├── views.py
└── wsgi.py
├── templates
└── index.html
└── word_dict.pickle
/.gitattributes:
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/README.md:
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1 | # 情绪识别api
2 |
3 | 用Django搭建的Web接口,输入一句话,通过训练好的模型来预测识别这句话的情绪。
4 |
5 | ## 示例
6 | ### 调用api
7 | 输入
8 | ```
9 | http://114.116.230.62/test/?sentence=卧槽
10 | ```
11 | 输出
12 | ```
13 | {"code": 200, "msg": "厌恶"}
14 | ```
15 | ### 可视化界面
16 | 
17 | ## 模型训练
18 | 基于LSTM的中文情绪识别
19 | https://github.com/jie12366/sentiment_analysis
20 |
21 | ## 相关博客
22 | [中文情绪识别api](http://jie12366.xyz:8081/#/users/11/articles/46)
23 | [基于LSTM的中文多分类情感分析](http://jie12366.xyz:8081/#/users/11/articles/35)
24 |
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/db.sqlite3:
--------------------------------------------------------------------------------
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/manage.py:
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1 | #!/usr/bin/env python
2 | """Django's command-line utility for administrative tasks."""
3 | import os
4 | import sys
5 |
6 |
7 | def main():
8 | os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'sentiment_analysis.settings')
9 | try:
10 | from django.core.management import execute_from_command_line
11 | except ImportError as exc:
12 | raise ImportError(
13 | "Couldn't import Django. Are you sure it's installed and "
14 | "available on your PYTHONPATH environment variable? Did you "
15 | "forget to activate a virtual environment?"
16 | ) from exc
17 | execute_from_command_line(sys.argv)
18 |
19 |
20 | if __name__ == '__main__':
21 | main()
22 |
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/my_model.h5:
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2 | oid sha256:5e7f0f6bde42d235a69b450b73fe7bf47836d2bd148b56af2a31065f9b3bebac
3 | size 125291360
4 |
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/requirements.txt:
--------------------------------------------------------------------------------
1 | django
2 | jieba==0.39
3 | Keras==2.2.4
4 | Keras-Applications==1.0.8
5 | Keras-Preprocessing==1.1.0
6 | numpy==1.17.2
7 | tensorboard==1.14.0
8 | tensorflow==1.14.0
9 | tensorflow-estimator==1.14.0
10 |
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/sentiment_analysis/settings.py:
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1 | """
2 | Django settings for sentiment_analysis project.
3 |
4 | Generated by 'django-admin startproject' using Django 2.2.7.
5 |
6 | For more information on this file, see
7 | https://docs.djangoproject.com/en/2.2/topics/settings/
8 |
9 | For the full list of settings and their values, see
10 | https://docs.djangoproject.com/en/2.2/ref/settings/
11 | """
12 |
13 | import os
14 |
15 | # Build paths inside the project like this: os.path.join(BASE_DIR, ...)
16 | BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
17 |
18 |
19 | # Quick-start development settings - unsuitable for production
20 | # See https://docs.djangoproject.com/en/2.2/howto/deployment/checklist/
21 |
22 | # SECURITY WARNING: keep the secret key used in production secret!
23 | SECRET_KEY = '#@1#)=@zmc)l^7^*49=6#z7we(9l+77k^vu+&35*$i+4)6-9sz'
24 |
25 | # SECURITY WARNING: don't run with debug turned on in production!
26 | DEBUG = True
27 |
28 | ALLOWED_HOSTS = ['*']
29 |
30 |
31 | # Application definition
32 |
33 | INSTALLED_APPS = [
34 | 'django.contrib.admin',
35 | 'django.contrib.auth',
36 | 'django.contrib.contenttypes',
37 | 'django.contrib.sessions',
38 | 'django.contrib.messages',
39 | 'django.contrib.staticfiles'
40 | ]
41 |
42 | MIDDLEWARE = [
43 | 'django.middleware.security.SecurityMiddleware',
44 | 'django.contrib.sessions.middleware.SessionMiddleware',
45 | 'django.middleware.common.CommonMiddleware',
46 | 'django.middleware.csrf.CsrfViewMiddleware',
47 | 'django.contrib.auth.middleware.AuthenticationMiddleware',
48 | 'django.contrib.messages.middleware.MessageMiddleware',
49 | 'django.middleware.clickjacking.XFrameOptionsMiddleware',
50 | ]
51 |
52 | ROOT_URLCONF = 'sentiment_analysis.urls'
53 |
54 | TEMPLATES = [
55 | {
56 | 'BACKEND': 'django.template.backends.django.DjangoTemplates',
57 | 'DIRS': [os.path.join(BASE_DIR, 'templates')]
58 | ,
59 | 'APP_DIRS': True,
60 | 'OPTIONS': {
61 | 'context_processors': [
62 | 'django.template.context_processors.debug',
63 | 'django.template.context_processors.request',
64 | 'django.contrib.auth.context_processors.auth',
65 | 'django.contrib.messages.context_processors.messages',
66 | ],
67 | },
68 | },
69 | ]
70 |
71 | WSGI_APPLICATION = 'sentiment_analysis.wsgi.application'
72 |
73 |
74 | # Database
75 | # https://docs.djangoproject.com/en/2.2/ref/settings/#databases
76 |
77 | DATABASES = {
78 | 'default': {
79 | 'ENGINE': 'django.db.backends.sqlite3',
80 | 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
81 | }
82 | }
83 |
84 |
85 | # Password validation
86 | # https://docs.djangoproject.com/en/2.2/ref/settings/#auth-password-validators
87 |
88 | AUTH_PASSWORD_VALIDATORS = [
89 | {
90 | 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
91 | },
92 | {
93 | 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
94 | },
95 | {
96 | 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
97 | },
98 | {
99 | 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
100 | },
101 | ]
102 |
103 |
104 | # Internationalization
105 | # https://docs.djangoproject.com/en/2.2/topics/i18n/
106 |
107 | LANGUAGE_CODE = 'en-us'
108 |
109 | TIME_ZONE = 'UTC'
110 |
111 | USE_I18N = True
112 |
113 | USE_L10N = True
114 |
115 | USE_TZ = True
116 |
117 |
118 | # Static files (CSS, JavaScript, Images)
119 | # https://docs.djangoproject.com/en/2.2/howto/static-files/
120 |
121 | STATIC_URL = '/static/'
122 | PROJECT_ROOT = os.path.abspath(os.path.dirname(__file__))
123 |
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/sentiment_analysis/tests.py:
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1 | from django.test import TestCase
2 |
3 | # Create your tests here.
4 |
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/sentiment_analysis/tools.py:
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1 | import pickle
2 | import re
3 | import jieba
4 | import numpy as np
5 | from keras.engine.saving import load_model
6 | from keras.preprocessing import sequence
7 | import tensorflow as tf
8 | import os
9 | from django.conf import settings
10 |
11 | MAX_SENTENCE_LENGTH = 80
12 | # 加载模型,并使模型和变量在同一图内
13 | global graph
14 | model = load_model(os.path.join(settings.BASE_DIR, 'my_model.h5'))
15 | graph = tf.get_default_graph()
16 | # 加载分词字典
17 | with open(os.path.join(settings.BASE_DIR, 'word_dict.pickle'), 'rb') as handle:
18 | word2index = pickle.load(handle)
19 |
20 | # 数据过滤
21 | def regex_filter(s_line):
22 | # 剔除英文、数字,以及空格
23 | special_regex = re.compile(r"[a-zA-Z0-9\s]+")
24 | # 剔除英文标点符号和特殊符号
25 | en_regex = re.compile(r"[.…{|}#$%&\'()*+,!-_./:~^;<=>?@★●,。]+")
26 | # 剔除中文标点符号
27 | zn_regex = re.compile(r"[《》、,“”;~?!:()【】]+")
28 |
29 | s_line = special_regex.sub(r"", s_line)
30 | s_line = en_regex.sub(r"", s_line)
31 | s_line = zn_regex.sub(r"", s_line)
32 | return s_line
33 |
34 | def predict(sentence):
35 | print(sentence)
36 | xx = np.empty(1, dtype=list)
37 | # 数据预处理
38 | sentence = regex_filter(sentence)
39 | words = jieba.cut(sentence)
40 | seq = []
41 | for word in words:
42 | if word in word2index:
43 | seq.append(word2index[word])
44 | else:
45 | seq.append(word2index['UNK'])
46 | xx[0] = seq
47 | xx = sequence.pad_sequences(xx, maxlen=MAX_SENTENCE_LENGTH)
48 |
49 | label2word = {1: '喜好', 2: '悲伤', 3: '厌恶', 4: '愤怒', 5: '高兴', 0: '无情绪'}
50 | with graph.as_default():
51 | for x in model.predict(xx):
52 | x = x.tolist()
53 | label = x.index(max(x[0], x[1], x[2], x[3], x[4], x[5]))
54 | return label2word[label]
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/sentiment_analysis/urls.py:
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1 | """sentiment_analysis URL Configuration
2 |
3 | The `urlpatterns` list routes URLs to views. For more information please see:
4 | https://docs.djangoproject.com/en/2.2/topics/http/urls/
5 | Examples:
6 | Function views
7 | 1. Add an import: from my_app import views
8 | 2. Add a URL to urlpatterns: path('', views.home, name='home')
9 | Class-based views
10 | 1. Add an import: from other_app.views import Home
11 | 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')
12 | Including another URLconf
13 | 1. Import the include() function: from django.urls import include, path
14 | 2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
15 | """
16 | from django.contrib import admin
17 | from django.urls import path
18 | from sentiment_analysis import views
19 |
20 | urlpatterns = [
21 | path('admin/', admin.site.urls),
22 | path('test/', views.test_api, name="test"),
23 | path('index/', views.to_index, name="index"),
24 | path('identify/', views.identify, name="identify")
25 | ]
26 |
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/sentiment_analysis/views.py:
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1 | # -*- coding: utf-8 -*-
2 |
3 | from django.http import JsonResponse
4 | from django.views.decorators.csrf import csrf_exempt
5 | from django.shortcuts import render
6 | from sentiment_analysis import tools
7 |
8 | @csrf_exempt
9 | def test_api(request):
10 | data = tools.predict(request.GET.get("sentence"))
11 | return JsonResponse({"code": 200, "msg": data}, json_dumps_params={'ensure_ascii': False})
12 |
13 | @csrf_exempt
14 | def identify(request):
15 | if request.is_ajax() and request.method == "POST":
16 | sentence = request.POST.get("sentence")
17 | data = tools.predict(sentence)
18 | return JsonResponse({"code": 200, "data": data}, json_dumps_params={'ensure_ascii': False})
19 |
20 | def to_index(request):
21 | return render(request, 'index.html')
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/sentiment_analysis/wsgi.py:
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1 | """
2 | WSGI config for sentiment_analysis project.
3 |
4 | It exposes the WSGI callable as a module-level variable named ``application``.
5 |
6 | For more information on this file, see
7 | https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/
8 | """
9 |
10 | import os
11 |
12 | from django.core.wsgi import get_wsgi_application
13 |
14 | os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'sentiment_analysis.settings')
15 |
16 | application = get_wsgi_application()
17 |
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/templates/index.html:
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1 |
2 |
3 |
4 |
5 | 情绪识别
6 |
27 |
28 |
29 |
30 |
欢迎使用情绪识别
31 |
34 |
37 |
38 |
55 |
56 |
57 |
58 |
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/word_dict.pickle:
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https://raw.githubusercontent.com/jie12366/sentiment_analysis_api/736219b3a28357876e02e87ad0f2af32d5ae33cc/word_dict.pickle
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