  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/
