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Rajeev, R. R.
- Dialect Resolution: A Hybrid Approach
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Authors
Affiliations
1 Department of CSE, Govt. Engineering College, Palakkad, Kerala, 678633, IN
2 VRCLC, IIITM-K, Trivandrum, Kerala, 695581, IN
1 Department of CSE, Govt. Engineering College, Palakkad, Kerala, 678633, IN
2 VRCLC, IIITM-K, Trivandrum, Kerala, 695581, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 15 (2015), Pagination: 8-11Abstract
Dialect Resolution is a regional variety of language, with differences in vocabulary, grammar and pronunciation. It is recognized formal variant of the language spoken by a large group belonging to one region, class or profession. Dialect resolution is an approach to convert a dialect from an informal format to its formal format without losing its meaning. It is a localized approach through which a person can express idea in his own style and still be able to convert to a formal format. In this dialect resolution system, highly informal slang words are replaced by similar words in a given context. This paper presents a dialect resolution method that is a hybrid of Rule based and Machine learning approaches. This work concentrated on Thrissur dialect. Thrissur is a district of Kerala, which is well known for its distinguishable dialect variations.- Lexical Resource Based Hybrid Approach for Cross Domain Sentiment Analysis in Malayalam
Abstract Views :150 |
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Authors
Affiliations
1 Computational Linguistics, Government Engineering College, Sreekrishnapuram, Palakkad, Kerala, IN
2 VRCLC, IIITM-K, Thiruvananthapuram, Kerala, IN
3 Dept. of Computer Science and Engineering, Government Engineering College, Sreekrishnapuram, Palakkad, Kerala, IN
1 Computational Linguistics, Government Engineering College, Sreekrishnapuram, Palakkad, Kerala, IN
2 VRCLC, IIITM-K, Thiruvananthapuram, Kerala, IN
3 Dept. of Computer Science and Engineering, Government Engineering College, Sreekrishnapuram, Palakkad, Kerala, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 15 (2015), Pagination: 18-21Abstract
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.- TNT Tagger for Malayalam with Fuzzy Rule Based Learning
Abstract Views :167 |
PDF Views:0
Authors
Affiliations
1 Computational Linguistics, Government Engineering College, Sreekrishnapuram, Palakkad, Kerala, IN
2 VRCLC, IIITM-K, Thiruvananthapuram, Kerala, IN
3 Dept. of Computer Science and Engineering, Government Engineering College, Sreekrishnapuram, Palakkad, Kerala, IN
1 Computational Linguistics, Government Engineering College, Sreekrishnapuram, Palakkad, Kerala, IN
2 VRCLC, IIITM-K, Thiruvananthapuram, Kerala, IN
3 Dept. of Computer Science and Engineering, Government Engineering College, Sreekrishnapuram, Palakkad, Kerala, IN