摘要
网络推手识别研究在净化网络环境、监测网络舆论导向等领域有广阔的发展前景。采用文本情感倾向分析方法进行网络推手识别,通过分析信息发布者的情感倾向,统计正面情感信息与负面情感信息的比重,确定该信息发布者是否是网络推手。重点讨论信息抽取及情感分类相关技术的实现,并验证方法的可行性。
Net-cheaters recognition has a large range of application, such as purifying network environment and monitoring public o- pinions. The authors take advantage of text sentiment analysis to discern the net-cheaters, briefly describe the method to identify the net-cheaters, and focus on the achievement of related technologies, such as information extraction and sentiment classification. The ex- perimental results show that this method can effectively identify the net-cheaters, and has a certain value.
出处
《图书情报工作》
CSSCI
北大核心
2010年第8期77-80,共4页
Library and Information Service
基金
国家自然科学基金项目"文本集特征提取方法及应用研究"(项目编号:70673070)研究成果之一
关键词
网络推手
正文抽取
情感分类
net-cheaters text extraction sentiment analysis
