Unsupervised adaptive microblog filtering for broad dynamic topics
作者：
Highlights：
• Broad topics on Twitter are highly dynamic.
• Boolean filtering retrieve high precision but limited number of tweets.
• A proposed adaptive filtering achieved 84% gain in recall with slight drop in prec.
• Proposed method showed robustness over time, across domains, and query formulations.
• Our method is currently adopted in a live service that follows news from Twitter.
摘要
•Broad topics on Twitter are highly dynamic.•Boolean filtering retrieve high precision but limited number of tweets.•A proposed adaptive filtering achieved 84% gain in recall with slight drop in prec.•Proposed method showed robustness over time, across domains, and query formulations.•Our method is currently adopted in a live service that follows news from Twitter.
论文关键词：Twitter,Microblog filtering,Unsupervised adaptive filtering,Broad dynamic topics,Arabic tweets
论文评审过程：Received 28 March 2015, Revised 17 November 2015, Accepted 24 November 2015, Available online 6 January 2016, Version of Record 17 May 2016.
论文官网地址：https://doi.org/10.1016/j.ipm.2015.11.004
