Semantic Web Dog Food

Presented at: 20th International World Wide Web Conference (WWW2011)

by Ana-Maria Popescu, Marco Pennacchiotti, Deepa Arun Paranjpe

This paper describes methods for automatically detecting events involving known entities from Twitter and understanding both the events as well as the audience reaction to them. We show that NLP techniques can be used to extract events, their main actors and the audience reactions with encouraging results.

Extracting Events and Event Descriptions from Twitter was presented at this event.

Keywords: World Wide Web

Resource URI on the dog food server: http://data.semanticweb.org/conference/www/2011/poster/extracting-events-and-event-descriptions-from-twit

Explore this resource elsewhere:

• on Snorql
• on Sindice
• on dotAC Explorer