TimeMachine: Entity-Centric Search and Visualization of News Archives

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

Saleiro, P (Author) Other; Teixeira, J (Author) Other; Carlos Soares (Author) FEUP; Eugénio Oliveira (Author) FEUP

Conference proceedings International

Title: Advances in Information Retrieval

Pages: 845-848

Indexing

Scopus - 11 Citations

Other information

Authenticus ID: P-00K-AKT

DOI: 10.1007/978-3-319-30671-1_78

Abstract (EN): 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/. © Springer International Publishing Switzerland 2016.

Language: English

Type (Professor's evaluation): Scientific