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A Comparative Study of Methods for Feature Extraction in Opinion Mining


Affiliations
1 Shrimad Rajchandra Institute of Management and Computer Application, Uka Tarsadia University, Bardoli, India
2 Shrimad Rajchandra Institute of Management and Computer Application, India
     

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Sentiment analysis or Opinion mining aims at determining what other people think, comment and gives their opinion. Opinion can be positive or negative. Feature extraction in sentiment analysis is now becoming an active area of research. Features can be implicit or explicit feature. For finding implicit or explicit features different techniques and algorithms are used. In this work we are comparing such different techniques.

Keywords

Feature Extraction, Opinion Mining, Sentiment Analysis, Aspect.
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  • A Comparative Study of Methods for Feature Extraction in Opinion Mining

Abstract Views: 370  |  PDF Views: 0

Authors

Rudri Mehta
Shrimad Rajchandra Institute of Management and Computer Application, Uka Tarsadia University, Bardoli, India
Anish Shaikh
Shrimad Rajchandra Institute of Management and Computer Application, Uka Tarsadia University, Bardoli, India
Namrata Patel
Shrimad Rajchandra Institute of Management and Computer Application, Uka Tarsadia University, Bardoli, India
Ravija Mehta
Shrimad Rajchandra Institute of Management and Computer Application, Uka Tarsadia University, Bardoli, India
Devangshi Patel
Shrimad Rajchandra Institute of Management and Computer Application, Uka Tarsadia University, Bardoli, India
Himadri Patel
Shrimad Rajchandra Institute of Management and Computer Application, India

Abstract


Sentiment analysis or Opinion mining aims at determining what other people think, comment and gives their opinion. Opinion can be positive or negative. Feature extraction in sentiment analysis is now becoming an active area of research. Features can be implicit or explicit feature. For finding implicit or explicit features different techniques and algorithms are used. In this work we are comparing such different techniques.

Keywords


Feature Extraction, Opinion Mining, Sentiment Analysis, Aspect.