The Study on Network Education Public Sentiment Based on Text Mining

摘要

This paper constructs a model about the application of the text mining technology in monitoring the network education public sentiment, according to the characteristics of the network education public sentiment, and the text mining technology which can apply to monitor it This model can collect related web documents from the Internet by web crawler tool, then transform the web documents collected into TXT documents, after data pre-processing, extract name, date, text, author, title, and other features of the text in a document, remove the duplicate, scripts and other noise data, segment word, tag POS, converse between single and complex, synonyms, based on common dictionaries and professional dictionaries for education public sentiment.