基于语义模式与词汇情感倾向的舆情态势研究

摘要

Public information on the Internet spreads fast, which has a huge impact on the society. Community manager analyze the public opinion in time, then make an effective control and guidance to avoid a greater social impact and damage. To analyze the development situation of the network public opinion from the Internet information, the text sentiment analysis is applied to the study of the network public opinion. For the topic of the network public opinion, a comprehensive method which forms a determinant arithmetic, which combines the semantic pattern and word sentiment orientation to determine the sentiment orientation and the positive or negative attitudes of the topic, is presented Experiments show that the validity and efficiency of the method is demonstrated%针对互联网上的舆论信息传播速度快,对社会造成巨大影响这一问题,社会管理者应该进行及时的舆情分析,从而进行有效控制和引导,避免形成更大的社会影响和危害.为了从网络信息中分析网络舆情的发展态势,将文本情感分析技术应用于网络舆情研究.针对网络舆情的话题评论,采用语义模式和词汇情感倾向相结合的方法,并形成了一种判定算法,该算法比较全面地判定话题评论的情感倾向性,把握网络舆情的正面或负面导向性.实验结果表明了该方法的有效性和准确性.