A Survey of sentiment analysis for Web texts
Sentiment analysis b a novel field of Web data mining, which has recently enjoyed a huge burst of research activity. Studies on this area aims at mining reviews of people for a certain product or events topics by automatic classifying the reviews into positive or negative opinions. This technique has numerous applications, such as e-commerce, business-intelligence, public poll and so forth. In this paper, We first introduce the tasks of sentiment analysis, then introduce two main techniques for sentiment analysis, subsequently application domains of it is presented briefly, lastly point out the difficulties and challenges of the research subject.
sentiment analysis tasks techniques application difficulties and challenges
Jie Lin Jin Yang
School of Economics and Management, Laboratory of Intelligence Decision and Decision Support Tongji University Shanghai, P. R. China
国际会议
桂林
英文
77-82
2010-11-17（万方平台首次上网日期，不代表论文的发表时间）