计算机应用与软件2016，Vol.33Issue(10)：9-13,71,6.DOI:10.3969/j.issn.1000-386x.2016.10.003
基于爬虫技术的网络负面情绪挖掘系统设计与实现
DESIGN AND IMPLEMENTATION OF A WEB CRAWLING-BASED NEGATIVE EMOTION MINING SYSTEM
摘要
Abstract
The rise of social networks provides people a new emotional space,but those who show psychological health problems online are usually lack of due attention and help,and sometimes even become the victims of Internet violence.To facilitate offering psychological counselling and assistance to those people in need in cyberspace timely and effectively,we propose a crawling-based web negative emotion mining system called CyberCare.Adopting the Scrapy open-source crawling framework,CyberCare periodically and automatically crawls target websites and measures the negative emotion of crawled web pages.The system also provides an interface to voluntary psychologists for timely intervention.Results of experiments targeted at several known social network websites show that CyberCare can narrow the concerning range of psychologists to one thousandth of all the new posts on websites,thus significantly improves work efficiency.For specific section of emotional class,the precision and recall of experimental results reach approximately 60% and 80% respectively,this shows the effectiveness of the system.关键词
网络爬虫/情绪挖掘/负面情绪/正则表达式Key words
Web crawler/Emotion mining/Negative emotion/Regular expression分类
信息技术与安全科学引用本文复制引用
彭纪奔,吴林,陈贤,黄雷君..基于爬虫技术的网络负面情绪挖掘系统设计与实现[J].计算机应用与软件,2016,33(10):9-13,71,6.基金项目
浙江省新苗人才计划项目（2014R424018）。 （）
