DocumentCode
603580
Title
Comparative analysis of the techniques for Sentiment Analysis
Author
Ghag, K. ; Shah, Karan
Author_Institution
Dept. of Inf. Technol., MET´s Shah & Anchor Kutchhi Eng. Coll., Mumbai, India
fYear
2013
fDate
23-25 Jan. 2013
Firstpage
1
Lastpage
7
Abstract
Sentiment Analysis deals with identifying and aggregating the sentiment or opinions expressed by the users. Sentiment Analysis could be carried out by techniques that may or may not use a lexicon for polarity identification. Training data set i.e. already tagged opinions may or may not be used. Some sentiment analyser could be language dependent or some could be language independent, also called as multilingual sentiment analysers. A detailed survey on different techniques used in Sentiment Analysis is carried out. These techniques are then compared on the basis of usage of lexicon, requirement of training set and language dependency. These are then summarised and analysed. General Challenges are also discussed.
Keywords
data mining; comparative analysis; language dependent; language independent; lexicon; polarity identification; sentiment analysis; Context; Dictionaries; Feature extraction; Object recognition; Semantics; Sentiment analysis; Training; Opinion Mining; Sentiment Analysis; Sentiment Classification; Sentiment Lexicon construction;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Technology and Engineering (ICATE), 2013 International Conference on
Conference_Location
Mumbai
Print_ISBN
978-1-4673-5618-3
Type
conf
DOI
10.1109/ICAdTE.2013.6524752
Filename
6524752
Link To Document