基于基本向量空间模型，先用爬虫爬取新闻组成语料库，使用Hanlp分词库进行分词,再使用TF-IDF算法，目前已完成query和document相似度矩阵的计算。
- python爬虫爬取新闻网站
- 文档分词，分词清理；
- TF-IDF（term frequency–inverse document frequency）
- 实现倒排索引算法
- 在网页前端展示
- 信息抽取
-
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Building a IR&IE system from scratch.
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