Path: Top -> Journal -> Jurnal Internasional -> King Saud University -> 2014 -> Volume 26, Issue 3, September

Mining opinion components from unstructured reviews: A review

Journal from gdlhub / 2017-08-16 10:02:45
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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PropertiNilai Properti
ID Publishergdlhub
OrganisasiKing Saud University
Nama KontakHerti Yani, S.Kom
AlamatJln. Jenderal Sudirman
KotaJambi
DaerahJambi
NegaraIndonesia
Telepon0741-35095
Fax0741-35093
E-mail Administratorelibrarystikom@gmail.com
E-mail CKOelibrarystikom@gmail.com

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