TY  - JOUR
Y1  - 2014///
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006190166&doi=10.1016%2fj.jksuci.2014.03.009&partnerID=40&md5=6f887c67edbb1f24f5e63f9309094322
JF  - Journal of King Saud University - Computer and Information Sciences
A1  - Khan, K.
A1  - Baharudin, B.
A1  - Khan, A.
A1  - Ullah, A.
VL  - 26
N2  - 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. © 2014 King Saud University.
IS  - 3
ID  - scholars4491
SN  - 13191578
PB  - King Saud bin Abdulaziz University
EP  - 275
AV  - none
N1  - cited By 108
TI  - Mining opinion components from unstructured reviews: A review
SP  - 258
ER  -