Topic segmentation model based on ATNLDA and co-occurrence theory and its application in stem cell field

Journal of Information Science

Volumn 39, Issue 3, 2013, Pages 319-332

  Wu, Qingqiang ^a   Zhang, Caidong ^a   An, Xinying ^b  

^a XIAMEN UNIVERSITY   (China)

^b INSTITUTE OF MEDICAL INFORMATION   (China)

Author keywords

automatic topic number LDA (ATNLDA); co occurrence theory; correlation analysis; latent Dirichlet allocation (LDA)

Indexed keywords

AUTOMATIC TOPIC NUMBER LDA (ATNLDA); CO-OCCURRENCE THEORIES; CORRELATION ANALYSIS; ITS APPLICATIONS; LATENT DIRICHLET ALLOCATIONS; LITERATURE RESEARCHES; STEM CELL RESEARCH; TOPIC SEGMENTATIONS;

PARAMETER ESTIMATION; RESEARCH; STATISTICS;

STEM CELLS;

EID: 84878320414     PISSN: 01655515     EISSN: 17416485     Source Type: Journal    
DOI: 10.1177/0165551512457893     Document Type: Article

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