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Collecting information is the basis of network public opinion analysis, judgment and developing countermeasure. How to improve the efficiency and accuracy of retrieval is an important problem. This paper expounds the selection of search words from the forms of synonym, antonym, hypernym and hyponym, fallible form of retrieval words; the web link filtering by analyzing from the structure of web pages; extraction the webpage text mainly from the template learning analysis; the text part filtering by analyzing the frequency of search words, the relevancy of web page theme and relevancy of URL theme. The research results improve the efficiency and accuracy of text mining.

Text Mining of Network Public Opinion Based on Link Template