Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/10393
Title: Hashtag recommendation in social media
Authors: Tharad, Hemant
Malik, Simple
Shukla, Shiva
Kumar, Nagendra [Guide]
Keywords: Computer Science and Engineering
Issue Date: 26-May-2022
Publisher: Department of Computer Science and Engineering, IIT Indore
Series/Report no.: BTP586;CSE 2022 THA
Abstract: In our research work we propose a hashtag recommendation system to predict relevant and more socially popular hashtags for their social media posts and predict the popularity of the posts on social networking services using text annotations. This helps the users to enhance their social media popularity and gain better reach. The effectiveness of this algorithm has been verified by using several machine learning models. These machine learning models predict the popularity of the posts with the newly recommended socially popular hashtags.
URI: https://dspace.iiti.ac.in/handle/123456789/10393
Type of Material: B.Tech Project
Appears in Collections:Department of Computer Science and Engineering_BTP

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