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Tamil Aspect Base Sentiment Analysis for Movie Recommendation System

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dc.contributor.author Sriranjan, Abilash
dc.date.accessioned 2024-06-07T07:06:33Z
dc.date.available 2024-06-07T07:06:33Z
dc.date.issued 2023
dc.identifier.citation Sriranjan, Abilash (2023) Tamil Aspect Base Sentiment Analysis for Movie Recommendation System. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2018379
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/2214
dc.description.abstract "This research will be based on extracting the characteristics from the tamil reviews/texts provided for a product/service by the existing users to be used to find sentiment score for the feature or attribute extracted and recommending the user by providing a straightforward idea on what aspects of the service/product are preferred by the user. There are various Recommendation systems available in the market. Some of them have used tamil dataset for their recommendation system. Through this research recommendation accuracy for recommendation systems which use tamil data sets can be increased. Extracting the feature from the tamil review and giving polarities for the whole product / service as well as for the extracted feature would give the user a clear vision about the product/ service and accuracy of recommendation for the product or a service will also be increased." en_US
dc.language.iso en en_US
dc.title Tamil Aspect Base Sentiment Analysis for Movie Recommendation System en_US
dc.type Thesis en_US


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