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Title: GitHub - jonesky/TextInfoExp: 文本处理实践相关资料，包含文本特征提取（TF-IDF），文本分类，文本聚类，word2vec训练词向量及同义词词林中文词语相似度计算、文档自动摘要，信息抽取，情感分析与观点挖掘等实验。 · GitHub

Open Graph Title: GitHub - jonesky/TextInfoExp: 文本处理实践相关资料，包含文本特征提取（TF-IDF），文本分类，文本聚类，word2vec训练词向量及同义词词林中文词语相似度计算、文档自动摘要，信息抽取，情感分析与观点挖掘等实验。

X Title: GitHub - jonesky/TextInfoExp: 文本处理实践相关资料，包含文本特征提取（TF-IDF），文本分类，文本聚类，word2vec训练词向量及同义词词林中文词语相似度计算、文档自动摘要，信息抽取，情感分析与观点挖掘等实验。

Description: 文本处理实践相关资料，包含文本特征提取（TF-IDF），文本分类，文本聚类，word2vec训练词向量及同义词词林中文词语相似度计算、文档自动摘要，信息抽取，情感分析与观点挖掘等实验。 - jonesky/TextInfoExp

Open Graph Description: 文本处理实践相关资料，包含文本特征提取（TF-IDF），文本分类，文本聚类，word2vec训练词向量及同义词词林中文词语相似度计算、文档自动摘要，信息抽取，情感分析与观点挖掘等实验。 - jonesky/TextInfoExp

X Description: 文本处理实践相关资料，包含文本特征提取（TF-IDF），文本分类，文本聚类，word2vec训练词向量及同义词词林中文词语相似度计算、文档自动摘要，信息抽取，情感分析与观点挖掘等实验。 - jonesky/TextInfoExp

Opengraph URL: https://github.com/jonesky/TextInfoExp

X: @github

direct link

Domain: github.com

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og:image:alt文本处理实践相关资料，包含文本特征提取（TF-IDF），文本分类，文本聚类，word2vec训练词向量及同义词词林中文词语相似度计算、文档自动摘要，信息抽取，情感分析与观点挖掘等实验。 - jonesky/TextInfoExp
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65 Commitshttps://github.com/jonesky/TextInfoExp/commits/master/
https://github.com/jonesky/TextInfoExp/commits/master/
Part1_TF-IDFhttps://github.com/jonesky/TextInfoExp/tree/master/Part1_TF-IDF
Part1_TF-IDFhttps://github.com/jonesky/TextInfoExp/tree/master/Part1_TF-IDF
Part2_Text_Classifyhttps://github.com/jonesky/TextInfoExp/tree/master/Part2_Text_Classify
Part2_Text_Classifyhttps://github.com/jonesky/TextInfoExp/tree/master/Part2_Text_Classify
Part3_Text_Clusterhttps://github.com/jonesky/TextInfoExp/tree/master/Part3_Text_Cluster
Part3_Text_Clusterhttps://github.com/jonesky/TextInfoExp/tree/master/Part3_Text_Cluster
Part4_Word_Similarityhttps://github.com/jonesky/TextInfoExp/tree/master/Part4_Word_Similarity
Part4_Word_Similarityhttps://github.com/jonesky/TextInfoExp/tree/master/Part4_Word_Similarity
Part5_Sentiment_Analysishttps://github.com/jonesky/TextInfoExp/tree/master/Part5_Sentiment_Analysis
Part5_Sentiment_Analysishttps://github.com/jonesky/TextInfoExp/tree/master/Part5_Sentiment_Analysis
Part6_Relation_Extractionhttps://github.com/jonesky/TextInfoExp/tree/master/Part6_Relation_Extraction
Part6_Relation_Extractionhttps://github.com/jonesky/TextInfoExp/tree/master/Part6_Relation_Extraction
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Python 列表(list)、字典(dict)、字符串(string)常用操作.mdhttps://github.com/jonesky/TextInfoExp/blob/master/Python%20%E5%88%97%E8%A1%A8(list)%E3%80%81%E5%AD%97%E5%85%B8(dict)%E3%80%81%E5%AD%97%E7%AC%A6%E4%B8%B2(string)%E5%B8%B8%E7%94%A8%E6%93%8D%E4%BD%9C.md
Python 列表(list)、字典(dict)、字符串(string)常用操作.mdhttps://github.com/jonesky/TextInfoExp/blob/master/Python%20%E5%88%97%E8%A1%A8(list)%E3%80%81%E5%AD%97%E5%85%B8(dict)%E3%80%81%E5%AD%97%E7%AC%A6%E4%B8%B2(string)%E5%B8%B8%E7%94%A8%E6%93%8D%E4%BD%9C.md
README.mdhttps://github.com/jonesky/TextInfoExp/blob/master/README.md
README.mdhttps://github.com/jonesky/TextInfoExp/blob/master/README.md
READMEhttps://github.com/jonesky/TextInfoExp
https://github.com/jonesky/TextInfoExp#构建实验环境
https://www.python.org/https://www.python.org/
https://github.com/jonesky/TextInfoExp#1--安装python27--httpswwwpythonorg
https://github.com/jonesky/TextInfoExp#2--安装pip
https://pypi.python.org/pypi/pip/9.0.1https://pypi.python.org/pypi/pip/9.0.1
http://mirrors.aliyun.com/pypi/simple/http://mirrors.aliyun.com/pypi/simple/
http://www.jetbrains.com/pycharm/http://www.jetbrains.com/pycharm/
https://github.com/jonesky/TextInfoExp#3--安装pycharm-------httpwwwjetbrainscompycharm
https://github.com/jonesky/TextInfoExp#4--使用github获取代码
https://git-scm.com/https://git-scm.com/
https://github.com/Roshanson/TextInfoExphttps://github.com/Roshanson/TextInfoExp
https://github.com/Roshanson/TextInfoExp,不需要fork，也可以直接下载zip包放进pycharm）https://github.com/Roshanson/TextInfoExp,%E4%B8%8D%E9%9C%80%E8%A6%81fork%EF%BC%8C%E4%B9%9F%E5%8F%AF%E4%BB%A5%E7%9B%B4%E6%8E%A5%E4%B8%8B%E8%BD%BDzip%E5%8C%85%E6%94%BE%E8%BF%9Bpycharm%EF%BC%89
https://help.github.com/articles/syncing-a-fork/https://help.github.com/articles/syncing-a-fork/
https://github.com/jonesky/TextInfoExp#5-ipython交互式开发环境
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