Path: Top -> Journal -> Jurnal Internasional -> King Saud University -> 2014 -> Volume 26, Issue 3, September
Mining opinion components from unstructured reviews: A review
Oleh : Khairullah Khan, Baharum Baharudin, Aurnagzeb Khan, Ashraf Ullah, King Saud University
Dibuat : 2014-09-16, dengan 1 file
Keyword : Opinion mining Sentiment analysis Information retrieval Text mining Web mining
Url : http://www.sciencedirect.com/science/article/pii/S131915781400010X
Sumber pengambilan dokumen : web
Opinion mining is an interesting area of research because of its applications in various fields. Collecting opinions of people about products and about social and political events and problems through the Web is becoming increasingly popular every day. The opinions of users are helpful for the public and for stakeholders when making certain decisions. Opinion mining is a way to retrieve information through search engines, Web blogs and social networks. Because of the huge number of reviews in the form of unstructured text, it is impossible to summarize the information manually. Accordingly, efficient computational methods are needed for mining and summarizing the reviews from corpuses and Web documents. This study presents a systematic literature survey regarding the computational techniques, models and algorithms for mining opinion components from unstructured reviews.
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