- Conference Paper
Rights / licenseCreative Commons Attribution 4.0 International
The ability to track and monitor relevant and important news in real-time is of crucial interest in multiple industrial sectors. In this work, we focus on cryptocurrency news, which recently became of emerging interest to the general and financial audience. In order to track popular news in real-time, we (i) match news from the web with tweets from social media, (ii) track their intraday tweet activity and (iii) explore different machine learning models for predicting the number of article mentions on Twitter after its publication. We compare several machine learning models, such as linear extrapolation, linear and random forest autoregressive models, and a sequence-to-sequence neural network. Show more
Book titleProceedings of the 2019 World Wide Web Conference (WWW’19)
Pages / Article No.
SubjectSocial media; Mining and learning; Cryptocurrency
654024 - SoBigData Research Infrastructure (SBFI)
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