期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
期号：ICCSTAR
页码：41
出版社：S&S Publications
摘要：Opinion Mining is a relatively new field of study. This field is gaining importance with the evolution ofonline businesses. Opinion mining can be a very useful tool in terms of obtaining customer feedback, which will helpcompanies design better products suited to the current market trend, thus maximizing their profit and also improvingcustomer relations. This paper surveys various papers that propose novel algorithms to mine opinion targets andopinion words, which is a difficult task given the complexity of (any) language and the informal nature of most onlinereviews. These state-of-the-art algorithms focus on improving precision, and on reducing error propagation and falseopinion relations. The concept, pros, and cons of each algorithm is discussed in this paper.
关键词：opinion mining; data mining; opinion target extraction; opinion word extraction
