Frame-Based Representation for Event Detection on Twitter

Large scale first-hand tweets motivate automatic event detection on Twitter. Previous approaches model events by clustering tweets, words or segments. On the other hand, event clusters represented by tweets are easier to understand than those represented by words/segments. However, compared to words...

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Veröffentlicht in:	IEICE Transactions on Information and Systems 2018/04/01, Vol.E101.D(4), pp.1180-1188
Hauptverfasser:	QIN, Yanxia, ZHANG, Yue, ZHANG, Min, ZHENG, Dequan
Format:	Artikel
Sprache:	eng
Schlagworte:	bursty Clustering event detection event representation Feature extraction Filtration frame Frames Information retrieval Probabilistic models Segments Social networks tweet z-score
Online-Zugang:	Volltext
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