TextClassification:使用Python进行文本分类的简单实践
文本分类
使用Python进行文本分类的简单实践
文件
内容
罗基奥.py
使用 Rocchio 算法的文本分类。 每个文档都在一个向量空间中表示。 在训练阶段，找到每类文档的质心。 在测试阶段，计算测试文档到每个质心的距离，并将文档分配到最近的质心类。
天真的eBayes.py
使用朴素贝叶斯算法的文本分类。 每个文档在一个向量空间中表示。 在训练阶段，学习字典每个术语的类先验和类条件概率。 在测试阶段，文档被分配给给定测试文档具有最大后验概率的类。
这是一个 IPython 笔记本，展示了使用 scikits-learn 机器学习库的完整但简单的文本分类管道。 管道从文本清理和标记化开始，然后将每个文档投影到一个向量空间中。 Tfidf 加权用于对向量进行归一化。 然后测试一些分类器； 使用它们的默认参数。 最后，在蛮力参数网格搜索上使用 10 倍交叉验证，找到了一些分类器的最
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