Social Hash Tag Techniques Using Data Mining- A Survey

M. Vidhyalakshmi¹ , P. Radha²

1. Department of Computer Science, Government Arts College, Coimbatore, India.
2. Department of Computer Science, Government Arts College, Coimbatore, India.

Section:Survey Paper, Product Type: Isroset-Journal
Vol.6 , Issue.3 , pp.86-92, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i3.8692

Online published on Jun 30, 2018

Copyright © M. Vidhyalakshmi, P. Radha . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
The increase in reputation of microblogging utilities like Twitter has advanced to the enhanced use of content explanation approaches like the hashtag. Hashtags offer users with a tagging methodology to facilitate categorize, cluster, and generate visibility for their posts. This is an easy perception but can be tough for the user in order to perform which directs to rare usage. In this paper, a survey has been taken for various methods of recommending hashtags as latest posts are generated to encourage more extensive recognition and procedure. Hashtag recommendation appears with frequent disputes comprises processing enormous quantity of streaming data and content which is tiny and noisy. In this paper, an effective method of hashtag can be recommended along with the approaches applied to which the recommendation can be suggested.

Key-Words / Index Term :
Social Tags, News, Hash Tag Recommendation, Twitter Hash Tags

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