Extracting semantic entities and events from sports tweets

Choudhury, Smitashree and Breslin, John G. (2011). Extracting semantic entities and events from sports tweets. In: 'Making Sense of Microposts': Big Things Come in Small Packages: co-located with the 8th Extended Semantic Web Conference, ESWC2011, 30 May 2011, Heraklion, Crete.

URL: http://ceur-ws.org/Vol-718/paper_17.pdf

Abstract

Large volumes of user-generated content on practically every major issue and event are being created on the microblogging site Twitter. This content can be combined and processed to detect events, entities and popular moods to feed various knowledge-intensive practical applications. On the downside, these content items are very noisy and highly informal, making it difficult to extract sense out of the stream. In this paper, we exploit various approaches to detect the named entities and significant micro-events from users’ tweets during a live sports event. Here we describe how combining linguistic features with background knowledge and the use of Twitter-specific features can achieve high, precise detection results (f-measure = 87%) in different datasets. A study was conducted on tweets from cricket matches in the ICC World Cup in order to augment the event-related non-textual media with collective intelligence.

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