Spot the ball: Detecting sports events on twitter


Corney D., Martin C., Göker A.

36th European Conference on Information Retrieval, ECIR 2014, Amsterdam, Hollanda, 13 - 16 Nisan 2014, cilt.8416 LNCS, ss.449-454, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 8416 LNCS
  • Doi Numarası: 10.1007/978-3-319-06028-6_40
  • Basıldığı Şehir: Amsterdam
  • Basıldığı Ülke: Hollanda
  • Sayfa Sayıları: ss.449-454
  • Anahtar Kelimeler: football, topic detection, Twitter
  • Çanakkale Onsekiz Mart Üniversitesi Adresli: Hayır

Özet

Messages from social media are increasingly being mined to extract useful information and to detect trends. These can relate to matters as serious as earthquakes and wars or as trivial as haircuts and cats. Football remains one of the world's most popular sports, and events within big matches are heavily discussed on Twitter. It therefore provides an excellent case study for event detection. Here we analyse tweets about the FA Cup final, the climax of the English football season, for 2012 and 2013. We evaluate an automated topic detection system using a ground truth derived from mainstream media. We also show that messages can be associated with different teams' fans, and that they discuss the same events from very different perspectives. © 2014 Springer International Publishing Switzerland.