Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/10393
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dc.contributor.authorTharad, Hemanten_US
dc.contributor.authorMalik, Simpleen_US
dc.contributor.authorShukla, Shivaen_US
dc.contributor.authorKumar, Nagendra [Guide]en_US
dc.date.accessioned2022-07-05T08:17:44Z-
dc.date.available2022-07-05T08:17:44Z-
dc.date.issued2022-05-26-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/10393-
dc.description.abstractIn 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.en_US
dc.language.isoenen_US
dc.publisherDepartment of Computer Science and Engineering, IIT Indoreen_US
dc.relation.ispartofseriesBTP586;CSE 2022 THA-
dc.subjectComputer Science and Engineeringen_US
dc.titleHashtag recommendation in social mediaen_US
dc.typeB.Tech Projecten_US
Appears in Collections:Department of Computer Science and Engineering_BTP

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