Please use this identifier to cite or link to this item:
https://dspace.iiti.ac.in/handle/123456789/10393
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tharad, Hemant | en_US |
dc.contributor.author | Malik, Simple | en_US |
dc.contributor.author | Shukla, Shiva | en_US |
dc.contributor.author | Kumar, Nagendra [Guide] | en_US |
dc.date.accessioned | 2022-07-05T08:17:44Z | - |
dc.date.available | 2022-07-05T08:17:44Z | - |
dc.date.issued | 2022-05-26 | - |
dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/10393 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Department of Computer Science and Engineering, IIT Indore | en_US |
dc.relation.ispartofseries | BTP586;CSE 2022 THA | - |
dc.subject | Computer Science and Engineering | en_US |
dc.title | Hashtag recommendation in social media | en_US |
dc.type | B.Tech Project | en_US |
Appears in Collections: | Department of Computer Science and Engineering_BTP |
Files in This Item:
File | Description | Size | Format | |
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BTP_586_Hemant_Tharad_180001020_Simple_Malik_180001055_Shiva_Shukla_180001051.pdf | 1.5 MB | Adobe PDF | View/Open |
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