Research Cell: An International Journal of Engineering Sciences

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Lexical Resource Based Hybrid Approach for Cross Domain Sentiment Analysis in Malayalam


Affiliations
1 Computational Linguistics, Government Engineering College, Sreekrishnapuram, Palakkad, Kerala, India
2 VRCLC, IIITM-K, Thiruvananthapuram, Kerala, India
3 Dept. of Computer Science and Engineering, Government Engineering College, Sreekrishnapuram, Palakkad, Kerala, India
 

In this paper, Cross Domain Sentiment Analysis of Malayalam reviews is done by classifying the polarity of opinions obtained from the user as positive, negative and neutral. Sentiment analysis is an application of Natural Language Processing and text analysis which helps to identify the emotions in a given context. In this work a hybrid approach for Sentiment Analysis is used in which a Hindi Wordnet based lexical resource file is created which is used for finding polarity of review and Machine Learning method is used for tagging certain special cases. Certain other rules are also incorporated to handle special cases. The system yields output that varies in degree between 0 and 1.
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  • Lexical Resource Based Hybrid Approach for Cross Domain Sentiment Analysis in Malayalam

Abstract Views: 150  |  PDF Views: 0

Authors

M. Anagha
Computational Linguistics, Government Engineering College, Sreekrishnapuram, Palakkad, Kerala, India
Raveena R. Kumar
Computational Linguistics, Government Engineering College, Sreekrishnapuram, Palakkad, Kerala, India
K. Sreetha
Computational Linguistics, Government Engineering College, Sreekrishnapuram, Palakkad, Kerala, India
R. R. Rajeev
VRCLC, IIITM-K, Thiruvananthapuram, Kerala, India
P. C. Reghu Raj
Dept. of Computer Science and Engineering, Government Engineering College, Sreekrishnapuram, Palakkad, Kerala, India

Abstract


In this paper, Cross Domain Sentiment Analysis of Malayalam reviews is done by classifying the polarity of opinions obtained from the user as positive, negative and neutral. Sentiment analysis is an application of Natural Language Processing and text analysis which helps to identify the emotions in a given context. In this work a hybrid approach for Sentiment Analysis is used in which a Hindi Wordnet based lexical resource file is created which is used for finding polarity of review and Machine Learning method is used for tagging certain special cases. Certain other rules are also incorporated to handle special cases. The system yields output that varies in degree between 0 and 1.