Microblog Sentiment Analysis Algorithm Research and Implementation Based on Classification

Under the background of today´s 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.