TY - JOUR
T1 - A framework investigating the online user reviews to measure the biasness for sentiment analysis
AU - Sudhakaran, Periakaruppan
AU - Hariharan, Shanmugasundaram
AU - Lu, Joan
N1 - This record is not in Eprints HN 12/10/2017
PY - 2016
Y1 - 2016
N2 - Online reviews provided for a product intends for the web users to give a thought on to purchase the product instantly. Such deceptive reviews tend to be positive, negative or neutral in nature. Analyzing such reviews have attracted commercial interest in the recent years and provide a strong platform for mere future, due to online user behaviour. Reviews expressed by websites are in the form of rating, pros and cons format or in free flow style. It has come become quite hard to make decisions effectively due to such complex representations. This study focuses its attention on to provide a system to measure the usefulness of reviews across different timeline. We have chosen reviews from commercial websites for a particular product based on the reviews provided by web users along with time line. The experimental investigation seems to derive out the significant deviation in the usefulness as compared to the reviews presented initially.
AB - Online reviews provided for a product intends for the web users to give a thought on to purchase the product instantly. Such deceptive reviews tend to be positive, negative or neutral in nature. Analyzing such reviews have attracted commercial interest in the recent years and provide a strong platform for mere future, due to online user behaviour. Reviews expressed by websites are in the form of rating, pros and cons format or in free flow style. It has come become quite hard to make decisions effectively due to such complex representations. This study focuses its attention on to provide a system to measure the usefulness of reviews across different timeline. We have chosen reviews from commercial websites for a particular product based on the reviews provided by web users along with time line. The experimental investigation seems to derive out the significant deviation in the usefulness as compared to the reviews presented initially.
KW - Opinion mining
KW - Recommendation
KW - Sentiment analysis
KW - Term frequency
KW - User reviews
UR - http://www.scopus.com/inward/record.url?scp=84983414859&partnerID=8YFLogxK
UR - http://medwelljournals.com/archivedetails.php?jid=1682-3915&issueno=128
U2 - 10.3923/ajit.2016.1890.1898
DO - 10.3923/ajit.2016.1890.1898
M3 - Article
AN - SCOPUS:84983414859
VL - 15
SP - 1890
EP - 1898
JO - Asian Journal of Information Technology
JF - Asian Journal of Information Technology
SN - 1682-3915
IS - 12
ER -