文章基本信息

标题：A Survey Paper: Areas, Techniques and Challenges of Opinion Mining
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作者：Ayesha Rashid
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2013
卷号：10
期号：6
出版社：IJCSI Press
摘要：Opinion Mining is a promising discipline, defined as an intersection of information retrieval and computational linguistic techniques to deal with the opinions expressed in a document. The field aims at solving the problems related to opinions about products, Politian in newsgroup posts, review sites, comments on Facebook posts and twitter etc. This paper is about to covers the techniques, applications, long and short future research areas, Research gaps and future challenges in opinion mining. Further, an attempt has been made to discuss in detail the use of supervised, unsupervised, machine learning and case based reasoning techniques in opinion mining to perform computational treatment of sentiments.
关键词：Keywords: Data mining; web mining; opinion mining; sentiment classification; supervised learning; unsupervised learning; CBR; machine learning; knowledge discovery in database; classification; clustering; sentiment analysis