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    Open Access
    Tweet Popularity Predicion Using Deep Learning
    (North South University, 2022-12-30) Leyon Ibn Kamal; Nujhat Tabassum; Raihan Hasan Joy; Mahafuza Anzum Lia; Dr. Shahnewaz Siddique; 1811050042; 1731175042; 1712340642; 1711261642
    Twitter 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.

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