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Microblogging sentiment analysis method based on text semantics and expression tendentiousness


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Microblogging sentiment analysis method based on text semantics and expression tendentiousness
Wang Wen12Wang Shufeng12Li Honghua1
1.School of Information and Engineering; 2.Changzhou Software Technology Research and Application Key Laboratory,Changzhou Institute of Technology,Changzhou 213002,China
text semantics expression tendentiousness microblogging sentiment analysis machine-learning Weibo crawlers application programming interface sentiment word dictionaries semantic similarity
Aiming at the problems of complex treatment works and low accuracy of the sentiment analysis method of Chinese microblogging based on machine-learning,a new sentiment analysis method is proposed here.The dynamic microblogging data are collected and pretreated by combining Weibo crawlers and Web application programming interface(API).The semantic similarity and tendentiousness are calculated based on the extraction and classification of microblogging emotional words of Chinese sentiment word dictionaries NTUSD and HowNet.The weightings of expression and text emotional tendentiousness,the increase of positive emotion and other factors are considered.Experimental data show that:expression tendentiousness plays a vital role on microblogging emotional tendentiousness; the reasonable setting of adjustment factors and neutral thresholds can improve the accuracy of sentiment analysis better when the ratio of expression and text emotional tendentiousness is fixed; compared with the calculation model based on HowNet semantic similarity,the adjustment accuracy of emotional tendentiousness of the sentiment analysis method proposed here is improved by about 5%.


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Last Update: 2014-12-31