news-classifier
给定训练新闻数据集,可以对输入的测试新闻进行自动分类识别
分类实现原理
- 总体上利用了余弦相似度计算的原理来计算文本相似度
- 其中的特征向量由训练数据集中的关键词构成,其中词语的寻找利用了中科大的ICTCLAS分词系统来做,提取其中的专业性的名词
- 利特征向量与标准向量进行余弦值的计算
使用方法
- 设定特征向量维数
- 给定训练新闻数据集,数量最后多一些,用于进行特征向量的计算
- 给定测试新闻数据集
- 输出分类结果
This project forked from linyiqun/news-classifier
给定训练新闻数据集,可以对输入的测试新闻进行自动分类识别
给定训练新闻数据集,可以对输入的测试新闻进行自动分类识别
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