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文本处理实践课资料,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。

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bookus/TextInfoExp

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构建实验环境

1 安装python(2.7) https://www.python.org/

2 安装pip:

2.1 下载pip https://pypi.python.org/pypi/pip/9.0.1

2.2 解压缩后,安装指令 python setup.py install

2.3 pip升级 python -m pip install --upgrade pip

2.4 pip安装扩展包 pip install jieba (这里以jieba包为例),如果速度较慢,可改为国内的阿里源, 即 pip install jieba -i http://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com

4 使用GitHub获取代码

4.1 安装git https://git-scm.com/

4.2 登陆自己的GitHub账号,找到 https://github.com/Roshanson/TextInfoExp ,点击fork,得到项目的复制。 (如果只是简单的获取代码可直接 git clone https://github.com/Roshanson/TextInfoExp,不需要fork,也可以直接下载zip包放进pycharm)

4.3 打开pycharm,首先设置git的位置及github账号,点击Test都通过后继续,依次在菜单栏点击 VCS checkout from version control GitHub,登陆自己的账号后选择相应的项目,得到代码。

4.4 (更新fork的项目到最新的版本)Syncing a fork https://help.github.com/articles/syncing-a-fork/

5 ipython交互式开发环境

5.1 安装ipython pip install ipython

5.2 安装jupyter(即notebook) pip install notebook

5.3 jupyter notebook 启动,打开浏览器即可(默认1224端口)

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文本处理实践课资料,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。

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