基于分类的微博情感分析算法研究及实现

摘要

在当今信息化时代的背景下,微博作为一种社交平台获得了飞速的发展.随着微博信息的大量更新,为了避免用户迷失在信息的海洋里,对微博情感分析研究变得迫切和重要.目前相关研究还处于起步阶段,因此论文从微博信息出发,研究基于贝叶斯分类和SVM分类算法的微博情感挖掘的实现,通过分析实验结果,两种算法在处理速度和处理精度方面对两种算法各有优劣,对微博信息情感分析是有效的,有一定的参考价值.%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.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.