Online Web Sentiment Analysis on Campus Network

摘要：

The user review on a web topic is particular useful information. These reviews usually concern such sentiment or opinions as positive, negative or mixed mood which will affect other users behaviors, psychological and cognitive activities. Classical web sentiment analysis system could not reach the realtime demand. The functions of online web sentiment analysis system are campus network net flow collection, real-time sentiment analysis and off-line Sentiment analysis on internet topic. Online Web Sentiment Analysis System is composed of FrontMonitor Node, Spider Node, Controller Node, BackAnalysis Node, and Data Warehouse Node. Experimental results show that the same subjective words can reach the different Integrated Sentiment Rate (ISR) value by Basic Sentiment Rate (BSR), Campus User Rate (CUR), Internet Topic Rate (ITR) and Manual Influence Rate (MIR). Using the online web sentiment analysis system, the internet topic sentiment on campus network can be discovered immediately.

关键词： web sentiment job scheduling cluster campus network

作者: Jiao Wu Bin Zhang Jinsong Liu Weihua Gao Yi Hu

作者单位: News Center Hebei University Baoding, China Network Center Hebei University Baoding, China

会议类型: 国际会议

会议名称: 2011 Fourth International Symposium on Computational Interlligence and Design 第四届计算智能与设计国际会议 ISCID 2011

会议地点: 杭州

会议语种:英文

页码: 759-762

在线出版日期: 2011-10-28（万方平台首次上网日期，不代表论文的发表时间）