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A hashtag recommendation system for twitter data streams.

Eriko OtsukaScott A WallaceDavid Chiu
Published in: Computational social networks (2016)
Our results show that HF-IHU can achieve over 30 % hashtag recall when asked to identify the top 10 relevant hashtags for a particular tweet. Furthermore, our method out-performs kNN, k-popularity, and Naïve Bayes by 69, 54, and 17 %, respectively, on recall of the top 200 hashtags.
Keyphrases
  • social media
  • electronic health record
  • big data
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