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Hashtag recommendation for enhancing the popularity of social media posts
Social media has gained huge importance in our lives wherein there is an enormous demand of getting high social popularity. With the emergence of many social media platforms and an overload of information, attaining high popularity requires efficient usage of hashtags, which can increase the reachab...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838373/ https://www.ncbi.nlm.nih.gov/pubmed/36686375 http://dx.doi.org/10.1007/s13278-023-01024-9 |
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author | Chakrabarti, Purnadip Malvi, Eish Bansal, Shubhi Kumar, Nagendra |
author_facet | Chakrabarti, Purnadip Malvi, Eish Bansal, Shubhi Kumar, Nagendra |
author_sort | Chakrabarti, Purnadip |
collection | PubMed |
description | Social media has gained huge importance in our lives wherein there is an enormous demand of getting high social popularity. With the emergence of many social media platforms and an overload of information, attaining high popularity requires efficient usage of hashtags, which can increase the reachability of a post. However, with little awareness about using appropriate hashtags, it becomes the need of the hour to build an efficient system to recommend relevant hashtags which in turn can enhance the social popularity of a post. In this paper, we thus propose a novel method hashTag RecommendAtion for eNhancing Social popularITy to recommend context-relevant hashtags that enhance popularity. Our proposed method utilizes the trending nature of hashtags by using post keywords along with the popularity of users and posts. With the prevalent evaluation techniques of this field being quite unreliable and non-uniform, we have devised a novel evaluation algorithm that is more robust and reliable. The experimental results show that our proposed method significantly outperforms the current state-of-the-art methods. |
format | Online Article Text |
id | pubmed-9838373 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-98383732023-01-17 Hashtag recommendation for enhancing the popularity of social media posts Chakrabarti, Purnadip Malvi, Eish Bansal, Shubhi Kumar, Nagendra Soc Netw Anal Min Original Article Social media has gained huge importance in our lives wherein there is an enormous demand of getting high social popularity. With the emergence of many social media platforms and an overload of information, attaining high popularity requires efficient usage of hashtags, which can increase the reachability of a post. However, with little awareness about using appropriate hashtags, it becomes the need of the hour to build an efficient system to recommend relevant hashtags which in turn can enhance the social popularity of a post. In this paper, we thus propose a novel method hashTag RecommendAtion for eNhancing Social popularITy to recommend context-relevant hashtags that enhance popularity. Our proposed method utilizes the trending nature of hashtags by using post keywords along with the popularity of users and posts. With the prevalent evaluation techniques of this field being quite unreliable and non-uniform, we have devised a novel evaluation algorithm that is more robust and reliable. The experimental results show that our proposed method significantly outperforms the current state-of-the-art methods. Springer Vienna 2023-01-11 2023 /pmc/articles/PMC9838373/ /pubmed/36686375 http://dx.doi.org/10.1007/s13278-023-01024-9 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Chakrabarti, Purnadip Malvi, Eish Bansal, Shubhi Kumar, Nagendra Hashtag recommendation for enhancing the popularity of social media posts |
title | Hashtag recommendation for enhancing the popularity of social media posts |
title_full | Hashtag recommendation for enhancing the popularity of social media posts |
title_fullStr | Hashtag recommendation for enhancing the popularity of social media posts |
title_full_unstemmed | Hashtag recommendation for enhancing the popularity of social media posts |
title_short | Hashtag recommendation for enhancing the popularity of social media posts |
title_sort | hashtag recommendation for enhancing the popularity of social media posts |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838373/ https://www.ncbi.nlm.nih.gov/pubmed/36686375 http://dx.doi.org/10.1007/s13278-023-01024-9 |
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