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Naive Bayes In Python

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[开发(python) 所属分类 开发(python) | 发布者 店小二03 | 时间 2018 | 作者 红领巾 ] 0人收藏点击收藏
Naive Bayes in the Industry

Now that you have an idea of what exactly Naive Bayes is and how it works, let’s see where it is used in the industry.

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Our first industrial use case is News Categorization, or we can use the term ‘text classification’ to broaden the spectrum of this algorithm. News on the web is rapidly growing where each news site has its own different layout and categorization for grouping news. Companies use a web crawler to extract useful text from HTML pages of news articles to construct a Full Text RSS. The contents of each news article is tokenized (categorized). In order to achieve better classification results, we remove the less significant words, i.e. stop, from the document. We apply the naive Bayes classifier for classification of news content based on news code.

本文开发(python)相关术语:python基础教程 python多线程 web开发工程师 软件开发工程师 软件开发流程

tags: news,Bayes,classification,use,Naive,News,where,RSS,text,each
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