Title: Based on the Bayesian Reasoning and TFIDF Algorithm of Chinese KeyWords Intelligent Extraction
Abstract:In traditional TFIDF Chminese keywords intellligent extraction model,meet the redundant,or dynamlc words,the words mining result is bad.Proposed based on the bayesian reasoning and TFIDF algoithm of C...In traditional TFIDF Chminese keywords intellligent extraction model,meet the redundant,or dynamlc words,the words mining result is bad.Proposed based on the bayesian reasoning and TFIDF algoithm of Chinese keywords intelligent extraction method.Using bayesian statistical principle to text information of probability statistics.Using bayesian decision-making theory to optimize TFIDF algorithm.Overeome traditional TFIDF algorithm of defects.The experimental results show that the optimal algorithm for Chlnese keywords TFIDF in intelligent extraction,the accuracy of the extraction grearly increased.Read More
Publication Year: 2012
Publication Date: 2012-01-01
Language: en
Type: article
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