A Survey Paper: Areas, Techniques and Challenges of Opinion Mining

نویسندگان

  • Ayesha Rashid
  • Naveed Anwer
  • Muhammad Sher
چکیده

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.

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تاریخ انتشار 2013