DocumentCode :
3673852
Title :
Sentiment analysis from product reviews using SentiWordNet as lexical resource
Author :
Alexandra Cernian;Valentin Sgarciu;Bogdan Martin
Author_Institution :
University Politehnica of Bucharest, Faculty of Automatic Control and Computers, Romania
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Abstract :
In the current social, technological and economic context, customers make their decisions based mostly on the opinion of other consumers. On the other side, companies need quick feedback from their customers in order to adapt to their needs in real time. The effective connection between these two aspects relies on opinion mining tools, which automatically process consumers´ reviews and opinions about products or services. This paper presents a semantic approach for a sentiment analysis application, which is based on using the SentiWordNet lexical resource. The experimental validation proved a 61% average rate of success of the application.
Keywords :
"Accuracy","Sentiment analysis","Context","Speech","Semantics","Companies","Decision making"
Publisher :
ieee
Conference_Titel :
Electronics, Computers and Artificial Intelligence (ECAI), 2015 7th International Conference on
Print_ISBN :
978-1-4673-6646-5
Type :
conf
DOI :
10.1109/ECAI.2015.7301224
Filename :
7301224
Link To Document :
بازگشت