SENTIMENT ANALYSIS AND EMOTION DETECTION FROM SOCIAL MEDIA COMMENTS IN BENGALI LANGUAGE

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dc.contributor.advisorMd. Shahriar Karim
dc.contributor.authorSananda Saha
dc.contributor.authorTanvir Hossain Pion
dc.contributor.authorFaysal Mahmud Nahiyan
dc.contributor.id1711496042
dc.contributor.id1110992045
dc.contributor.id1712699402
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2025-07-27
dc.date.accessioned2025-07-27T08:06:08Z
dc.date.available2025-07-27T08:06:08Z
dc.date.issued2021-08-30
dc.description.abstractIn the last decade social media sites like Facebook, Twitter, YouTube, Instagram and TikTok have truly integrated in our life. However, due to this mass popularity and apparent anonymity, the number of negative comments like violence, gender discrimination, spam and depression have increased dramatically. As there are few datasets about these kinds of topics in Bangla language, detecting such comments is very difficult. So, in this paper we are creating a new dataset of 13000 Bangla comments from Bangladeshi Facebook celebrity pages. We will use the SVM model for baseline evaluation and several deep learning models for increasing accuracy to detect such negative comments. Our core contribution will be to make this dataset accessible to all for future research in these topics. Finally, we will use the best model to analyze the trend of these negative comments in Bangladeshi Facebook celebrity pages in recent times.
dc.description.degreeUndergraduate
dc.identifier.cd600000237
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/1324
dc.language.isoen_US
dc.publisherNorth-south University
dc.rights© NSU Library
dc.titleSENTIMENT ANALYSIS AND EMOTION DETECTION FROM SOCIAL MEDIA COMMENTS IN BENGALI LANGUAGE
dc.typeProject
oaire.citation.endPage18
oaire.citation.startPage1
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