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TimeMachine: Entity-centric Search and Visualization of News Archives
January 05, 2016 Β· Declared Dead Β· π European Conference on Information Retrieval
"No code URL or promise found in abstract"
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Authors
Pedro Saleiro, Jorge Teixeira, Carlos Soares, EugΓ©nio Oliveira
arXiv ID
1601.00855
Category
cs.IR: Information Retrieval
Citations
15
Venue
European Conference on Information Retrieval
Last Checked
4 months ago
Abstract
We present a dynamic web tool that allows interactive search and visualization of large news archives using an entity-centric approach. Users are able to search entities using keyword phrases expressing news stories or events and the system retrieves the most relevant entities to the user query based on automatically extracted and indexed entity profiles. From the computational journalism perspective, TimeMachine allows users to explore media content through time using automatic identification of entity names, jobs, quotations and relations between entities from co-occurrences networks extracted from the news articles. TimeMachine demo is available at http://maquinadotempo.sapo.pt/
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