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 :
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