Fuzzy Logic Based Hybrid Approach for Sentiment Analysis of Malayalam Movie Reviews
Anagha, M; Kumar, RR; Sreetha, K; Raj, PCR; ,
| HERO ID | 7689109 |
|---|---|
| In Press | No |
| Year | 2015 |
| Title | Fuzzy Logic Based Hybrid Approach for Sentiment Analysis of Malayalam Movie Reviews |
| Authors | Anagha, M; Kumar, RR; Sreetha, K; Raj, PCR; , |
| Abstract | In this paper, Sentence level Sentiment Analysis of Malayalam movie 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 Machine Learning method is used for tagging and Fuzzy Logic is used to find the membership of the review in each sentiment class. Fuzzy logic can be used to handle the vagueness in natural language. Manually tagged data are trained using TnT and Fuzzy rules are incorporated for identifying and classifying the emotions. Certain other rules are also incorporated to handle certain special cases. The fuzzy rules yield output that varies in degree between 0 and 1. |
| Wosid | WOS:000380415700153 |
| Is Certified Translation | No |
| Dupe Override | No |
| Conference Location | Kozhikode, INDIA |
| Conference Name | IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES) |
| Is Public | Yes |