A time-dependent topic model for multiple text streams

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2011, Pages 832-840

  Hong, Liangjie ^a   Dom, Byron ^b   Gurumurthy, Siva ^b   Tsioutsiouliklis, Kostas ^b  

^a Lehigh University   (United States)

^b YAHOO RESEARCH   (United States)

Author keywords

News; Temporal dynamics; Text streams; Topic models; Twitter

Indexed keywords

DYNAMICS; SOCIAL NETWORKING (ONLINE);

INDISPENSABLE TOOLS; MEDIA OUTLETS; NEWS; RESEARCH COMMUNITIES; SOCIAL MEDIA; TEMPORAL DYNAMICS; TEXT STREAMS; TIME DEPENDENT; TOPIC MODELING; TWITTER;

INFORMATION DISSEMINATION;

EID: 80052661552     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2020408.2020551     Document Type: Conference Paper

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