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 :
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