Efficient Tracking of Breaking News in Twitter.
WebSci '19: 11th ACM Conference on Web Science Boston Massachusetts USA June, 2019(2019)
摘要
We present an efficient graph-based method for filtering tweets relevant to a given breaking news from large tweet streams. Unlike existing models that either require manual effort, strong supervision, and/or not scalable, our method can automatically and effectively filter incoming relevant tweets starting from just a small number of past relevant tweets. Extensive experiments on both synthetic and real datasets show that our proposed method significantly outperforms other methods in filtering the relevant tweets while being as fast as the most efficient state-of-the-art method.
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