Microblog sentiment analysis algorithm research and implementation based on classification
Under the background of todays information age,microblog obtains a rapid development.With the news on the microblog updating,in order to avoid the users getting lost in the ocean of information,emotion analysis of the information becomes urgent and important.This paper based on the implementation of microblog emotion mining of Bayesian classifier and SVM classification algorithm,making comparison through the analysis of the experimental results in processing speed and accuracy,has a reference value.
Bayesian SVM words segmentation sentiment analysis
Yanxia Yang Fengli Zhou
Faculty of Information Engineering,City College Wuhan University of Science and Technology,Wuhan,China
国际会议
贵阳
英文
288-291
2015-08-18（万方平台首次上网日期，不代表论文的发表时间）