期刊名称：Journal of Emerging Trends in Computing and Information Sciences
电子版ISSN：2079-8407
出版年度：2012
卷号：3
期号：4
页码：605-611
出版社：ARPN Publishers
摘要：Opinion Mining is an important research area in text mining domain. Modern enterprises host text mining software’s that transform unstructured text into structured data. These software’s extract entities such as people, places, companies and products. Based on wiki survey, text is considered as an unstructured data which comprises somewhere between 31% to 85% of what is stored in any given enterprise. Opinion mining is the process of extraction of sentiments from human authored documents from different written online sources. This paper describes the different opinion mining techniques, importance of opinion mining, issues, applications and also proposes a structural framework for mining opinions from text documents.
关键词：Text mining; web mining; opinion mining; sentiment analysis; natural language processing; Innovations and collaborations in Technology management.
