DocumentCode
3539577
Title
A study on sentiment analysis of social media reviews
Author
Lovelin Ponn Felciah, M. ; Anbuselvi, R.
Author_Institution
Dept. of Comput. Applic., Bishop Heber Coll., Tiruchirappalli, India
fYear
2015
fDate
19-20 March 2015
Firstpage
1
Lastpage
3
Abstract
With the rapid growth of Web technology, there is a huge volume of data present in the Web for Internet users. It also become the place for online learning and exchange ideas. The information gathering has become more important to find out what other people think about any product, service or organization. This gives an enormous growth and availability of rich-opinion data in various social media such as on-line review site, twitter, face book and personal blogs and so on. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which yields to computational treatment on various opinion and sentiment in text. This survey focus on various techniques and methods for classifying the opinion from social media datasets and its future aspects.
Keywords
Internet; data mining; social networking (online); Facebook; Internet users; Twitter; Web technology; information gathering; online learning; online review site; opinion mining; personal blogs; rich-opinion data; sentiment analysis; social media datasets; social media reviews; Accuracy; Buildings; Data analysis; Pragmatics; Opinion mining; Sentiment Analysis; classification; social media;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
Conference_Location
Coimbatore
Print_ISBN
978-1-4799-6817-6
Type
conf
DOI
10.1109/ICIIECS.2015.7192949
Filename
7192949
Link To Document