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A Subjective Feature Extraction for Sentiment Analysis in Malayalam Language


Affiliations
1 Virtual Resource Center for Language Computing(VRCLC), Indian Institute of Information Technology and Management-Kerala, Thiruvananthapuram, India
 

In recent days, Sentiment Analysis has become an active research in NLP, which analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from writing language. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, and social network. In his paper, sentiment analysis of Malayalam film review is carried out using machine learning techniques CRF combined with a rule based approach. The system shows 82 % accuracy.
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  • A Subjective Feature Extraction for Sentiment Analysis in Malayalam Language

Abstract Views: 227  |  PDF Views: 7

Authors

Jisha P. Jayan
Virtual Resource Center for Language Computing(VRCLC), Indian Institute of Information Technology and Management-Kerala, Thiruvananthapuram, India
Deepu S. Nair
Virtual Resource Center for Language Computing(VRCLC), Indian Institute of Information Technology and Management-Kerala, Thiruvananthapuram, India
Elizabeth Sherly
Virtual Resource Center for Language Computing(VRCLC), Indian Institute of Information Technology and Management-Kerala, Thiruvananthapuram, India

Abstract


In recent days, Sentiment Analysis has become an active research in NLP, which analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from writing language. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, and social network. In his paper, sentiment analysis of Malayalam film review is carried out using machine learning techniques CRF combined with a rule based approach. The system shows 82 % accuracy.