Breaking News Detection and Tracking in Twitter

Twitter has been used as one of the communication channels for spreading breaking news. We propose a method to collect, group, rank and track breaking news in Twitter. Since short length messages make similarity comparison difficult, we boost scores on proper nouns to improve the grouping results. E...

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Vydáno v:2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Ročník 3; s. 120 - 123
Hlavní autoři: Phuvipadawat, S, Murata, T
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.08.2010
Témata:
Feature extraction
Indexing
Information Retrieval
Nominations and elections
Real time systems
Real-time text-mining
Reliability
Topic Detection and Tracking
Twitter
User-generated content
ISBN:9781424484829, 1424484820
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Shrnutí:Twitter has been used as one of the communication channels for spreading breaking news. We propose a method to collect, group, rank and track breaking news in Twitter. Since short length messages make similarity comparison difficult, we boost scores on proper nouns to improve the grouping results. Each group is ranked based on popularity and reliability factors. Current detection method is limited to facts part of messages. We developed an application called "Hotstream" based on the proposed method. Users can discover breaking news from the Twitter timeline. Each story is provided with the information of message originator, story development and activity chart. This provides a convenient way for people to follow breaking news and stay informed with real-time updates.
ISBN:9781424484829
1424484820
DOI:10.1109/WI-IAT.2010.205