文件列表:

data_helper.py (1494, 2022-04-03)
examples.py (18521, 2022-04-03)
fasttext.model.bin (1911893, 2022-04-03)
requirements.txt (2796, 2022-04-03)
spell_correct_model (0, 2022-04-03)
spell_correct_model\pinyin_word.json (1730620, 2022-04-03)
spell_correct_model\word_count.json (864748, 2022-04-03)
test_data (0, 2022-04-03)
test_data\test_classification.txt (86105, 2022-04-03)
test_data\test_data_cluster.txt (83469, 2022-04-03)
test_data\test_fasttext_cls.txt (103977, 2022-04-03)
test_data\test_keyphrase.txt (7605, 2022-04-03)
test_data\test_summarization.txt (2121, 2022-04-03)
test_data\水浒传.txt (2574884, 2022-04-03)
text_analysis_api (0, 2022-04-03)
text_analysis_api\__init__.py (1289, 2022-04-03)
text_analysis_api\__pycache__ (0, 2022-04-03)
text_analysis_api\__pycache__\__init__.cpython-36.pyc (157, 2022-04-03)
text_analysis_api\__pycache__\__init__.cpython-37.pyc (1553, 2022-04-03)
text_analysis_api\a0text_cluster (0, 2022-04-03)
text_analysis_api\a0text_cluster\__init__.py (198, 2022-04-03)
text_analysis_api\a0text_cluster\dbscan.py (3361, 2022-04-03)
text_analysis_api\a0text_cluster\kmeans.py (2799, 2022-04-03)
text_analysis_api\a1sentiment (0, 2022-04-03)
text_analysis_api\a1sentiment\__init__.py (23, 2022-04-03)
text_analysis_api\a1sentiment\data (0, 2022-04-03)
text_analysis_api\a1sentiment\data\degreeDict.json (3171, 2022-04-03)
text_analysis_api\a1sentiment\data\jieba.dic (840715, 2022-04-03)
text_analysis_api\a1sentiment\data\notDict.json (979, 2022-04-03)
text_analysis_api\a1sentiment\data\sentimentDict.json (2988025, 2022-04-03)
text_analysis_api\a1sentiment\data\stopwords.txt.json (13494, 2022-04-03)
text_analysis_api\a1sentiment\sentiment.py (1925, 2022-04-03)
text_analysis_api\a1text_classification (0, 2022-04-03)
text_analysis_api\a1text_classification\__init__.py (23, 2022-04-03)
text_analysis_api\a1text_classification\fasttext.py (2837, 2022-04-03)
text_analysis_api\a1text_similarity (0, 2022-04-03)
text_analysis_api\a1text_similarity\__init__.py (197, 2022-04-03)
... ...

# text_analysis_api中文nlp分析工具包 > 运行 “python examples.py”测试。 # 目录 - test_data: 测试小数据 - text_analysis_api: 功能API - examples.py: 使用样例 # 功能 - 文本聚类 # # - 文本分类 - 情感分析--基于情感词典 - 文本相似性 # - 事件三元组抽取 # - caption # - mrc # - 文本摘要 ##=================================== ##=================================== - 文本纠错 - 关键词抽取 - 关键短语抽取 - 主题关键词 - 同义词、近义词##注意事项- 采用词向量生成同义词、近义词功能,需用户自己指定预训练词向量##=================================== ####=================================================================================================================================== ####=================================================================================================================================== #注意事项 后续会增加更多的大模型(bert,gpt,qa,多模态等),一起进步共勉。

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