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Social Network Analysis and Mining
Published in:

01-12-2023 | Original Article

Hashtag recommendation for enhancing the popularity of social media posts

Authors: Purnadip Chakrabarti, Eish Malvi, Shubhi Bansal, Nagendra Kumar

Published in: Social Network Analysis and Mining | Issue 1/2023

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Abstract

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.
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Metadata
Title
Hashtag recommendation for enhancing the popularity of social media posts
Authors
Purnadip Chakrabarti
Eish Malvi
Shubhi Bansal
Nagendra Kumar
Publication date
01-12-2023
Publisher
Springer Vienna
Published in
Social Network Analysis and Mining / Issue 1/2023
Print ISSN: 1869-5450
Electronic ISSN: 1869-5469
DOI
https://doi.org/10.1007/s13278-023-01024-9

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