Extracting semantic entities and events from sports tweets

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Extracting semantic entities and events from sports tweets
Authors: Smitashree Choudhury, John Breslin
Citation: Proceedings of the ESWC2011 Workshop on 'Making Sense of Microposts': Big things come in small packages 718 in CEUR Workshop Proceedings : 2011 May
Editors: Matthew Rowe, Milan Stankovic, Aba-Sah Dadzie, Mariann Hardey
Publisher: Define publisher
Meeting: Making Sense of Microposts
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Extracting semantic entities and events from sports tweets describes a text mining of posts from Twitter in connection with a sporting events.

The researcher collect 3 difference twitter data sets (query: #cricket, #cwc2001, ICC cricket world cup, #cwc11)

The tasks was to extract named entities and micro-events (goal in soccer match, wicket in cricket match) within a sport event tweets. Human annotators extracted events and players from the posts. Person names occure not often as full name, but instead as first name, surname, initials or other variation.

The paper was presented by Sheila Kinsella at the Making Sense of Microposts workshop.

Summary:

  • "Named entities proved to be difficult"
  • "Events can be detected with light computation"
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