Mining common topics from multiple asynchronous text streams

Proceedings of the 2nd ACM International Conference on Web Search and Data Mining, WSDM'09

Volumn , Issue , 2009, Pages 192-201

  Wang, Xiang ^a   Zhang, Kai ^a   Jin, Xiaoming ^a   Shen, Dou ^b  

^a TSINGHUA UNIVERSITY   (China)

^b MICROSOFT   (United States)

Author keywords

Asynchronous streams; Temporal text mining; Topic model

Indexed keywords

A-MONOTONE; ASYNCHRONOUS STREAMS; EMPIRICAL STUDIES; KNOWLEDGE DISCOVERY; MULTIPLE STREAMS; NEWS ARTICLES; NEWS FEEDS; NOVEL ALGORITHM; OBJECTIVE FUNCTIONS; REAL DATA SETS; RESEARCH PAPERS; TEMPORAL INFORMATION; TEMPORAL TEXT MINING; TEXT STREAMS; TIME DISTRIBUTION; TIME STAMPS; TOPIC MODEL;

ALGORITHMS; DATA MINING; INFORMATION RETRIEVAL; RESEARCH; WORLD WIDE WEB;

MINING;

EID: 70349089254     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1498759.1498826     Document Type: Conference Paper

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