有一个五千左右的关键词库，怎么最快的匹配出一篇文章（800字左右）上的关键词
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有一个五千左右的关键词库，怎么最快的匹配出一篇文章（800字左右）上的关键词
用关键词建立一个哈希表，然后依次查找文章里的单词是否在其中。
结...结...巴, 结巴中文分词
构建一个关键词的树
具体实现看这篇文章
从你词库和文章字数的量上看，貌似都不大，如果业务需求上确实就这么大，感觉不需要做分词，引入外部库什么的。
直接遍历词库中的词，去逐一匹配一遍文章就好。当然，也可以先检测下词库中，有没有包含词如“鞋”，“女鞋”这种，建立一个树，然后在与文章匹配，前提是你的词库中存在这种词，业务允许等。
将关键词库预编译成自动机，然后再去文章中查询，实际开发中就用正则表达式的方式实现即可。
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