Towards Real-Time Summarization of Scheduled Events from Twitter Streams
Proceedings of the 23rd ACM Conference on Hypertext and Social Media (Hypertext'12), 2012
We deal with shrinking the stream of tweets for scheduled events in real-time, following two steps: (i) sub-event detection, which determines if something new has occurred, and (ii) tweet selection, which picks a tweet to describe each sub-event. By comparing summaries in three languages to live reports by journalists, we show that simple text analysis methods which do not involve external knowledge lead to summaries that cover 84% of the sub-events on average, and 100% of key types of sub-events (such as goals in soccer).
@inproceedings{zubiaga2012summarization,
author = {Zubiaga, Arkaitz and Spina, Damiano and Amig\'{o}, Enrique and Gonzalo, Julio},
title = {Towards Real-time Summarization of Scheduled Events from Twitter Streams},
booktitle = {Proceedings of the 23rd ACM Conference on Hypertext and Social Media},
series = {HT '12},
year = {2012},
pages = {319--320},
doi = {10.1145/2309996.2310053}
}