Tweet Popularity Predicion Using Deep Learning

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creativework.keywordsText Classification, NLP, Deep Learning, CNN, RNN, LSTM, GRU, Multi-class classification TensorFlow, Twitter
dc.contributor.advisorDr. Shahnewaz Siddique
dc.contributor.authorLeyon Ibn Kamal
dc.contributor.authorNujhat Tabassum
dc.contributor.authorRaihan Hasan Joy
dc.contributor.authorMahafuza Anzum Lia
dc.contributor.id1811050042
dc.contributor.id1731175042
dc.contributor.id1712340642
dc.contributor.id1711261642
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2026-08-19
dc.date.accessioned2026-08-19T10:34:07Z
dc.date.available2026-08-19T10:34:07Z
dc.date.issued2022-12-30
dc.description.abstractTwitter is one of the most popular social media platforms. It is used for a wide range of uses, from just sharing information to promoting brands, and even by many governments and politicians to promote their policies and opinions. Regardless of the use, the most common expectation of the users is for their tweets to get higher likes and retweets, which eventually leads to a greater reach in the audience. From general observation, we can notice that on Twitter some tweets seem to get better reach than others. So our goal is to create a deep learning model that would allow us to predict if a certain text a user wants to tweet out will get popular so that they can optimize their tweets for maximum benefit. We will use text classification to create a rating system to allow us to get a general idea of how popular a tweet could get.
dc.description.degreeUndergraduate
dc.identifier.cd600000707
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/1737
dc.language.isoen_US
dc.publisherNorth South University
dc.rights@ NSU Library
dc.titleTweet Popularity Predicion Using Deep Learning
dc.typeProject
oaire.citation.endPage8
oaire.citation.startPage1
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