A socio-temporal hashtag recommendation system for twitter

Volume: 813, Pages: 357 - 366
Published: Dec 11, 2018
Abstract
The hashtag recommendation systems on Twitter have largely focused on analyzing the text content of tweets. In this work, we modify the state-of-the-art existing natural language processing (NLP) technique and deeply ingrain socio-temporal techniques into the overall process, to model a novel hashtag recommendation system. The social aspect of the system aims to make use of the hashtags generated by familiar individuals possess, as well as, the...
Paper Details
Title
A socio-temporal hashtag recommendation system for twitter
Published Date
Dec 11, 2018
Volume
813
Pages
357 - 366
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