To accurately analyze the sentiment tendency of netizens'comment texts after the occurrence of unexpected events,a sentiment analysis model combining an expanded sentiment lexicon and a rule set was proposed.The domain sentiment words were filtered according to the word information entropy,and the sentiment polarity of the domain sentiment words was judged using the chi-square test to obtain the domain sentiment lexicon of breaking events.The sentiment analysis rule set was combined with the expanded sentiment lexicon to calculate the sentiment value of the text,and the text below the sentiment value threshold was classified twice using the integrated learning model to obtain the sentiment category of the critical incident comment text.The effectiveness of the model is verified through experiments,which provides a referenceable model and solution algorithm for sentiment analysis of breaking events.
关键词
情感分析/突发事件/情感词典/规则集/信息熵/集成学习/卡方检验
Key words
sentiment analysis/contingency/sentiment lexicon/rule set/information entropy/ensemble learning/chi-square test
维普
万方数据