Abstract
This paper presents the real-time summarization of scheduled soccer games from flows of Twitter stream. During events, many messages (tweets) are sent describing and expressing opinions about the game. The proposed approach shrinks the stream of tweets in real-time, and consists of two main steps: (i) the sub-event detection step, which determines if something new has occurred, and (ii) the tweet selection step, which picks a few representative tweets to describe each sub-event. We compare the automatic summaries generated in some of the soccer games of Brazilian, Spanish and England (2013-2014) Leagues with the live reports offered by ESPN! Sports, Globo Esporte, Yahoo! Sports and livematch.Com web site. The results show that the proposed approach is efficient and can produce real-time summarization with good quality.
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Esmin, A.A.A., Júnior, R.S.C., Santos, W.S., Botaro, C.O., Nobre, T.P. (2014). Real-Time Summarization of Scheduled Soccer Games from Twitter Stream. In: Métais, E., Roche, M., Teisseire, M. (eds) Natural Language Processing and Information Systems. NLDB 2014. Lecture Notes in Computer Science, vol 8455. Springer, Cham. https://doi.org/10.1007/978-3-319-07983-7_29
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DOI: https://doi.org/10.1007/978-3-319-07983-7_29
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07982-0
Online ISBN: 978-3-319-07983-7
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