Text mining for information systems researchers: An annotated topic modeling tutorial

Communications of the Association for Information Systems

Volumn 39, Issue 1, 2016, Pages 110-135

  Debortoli, Stefan ^a   Müller, Oliver ^b   Junglas, Iris ^c   vom Brocke, Jan ^a  

^a UNIVERSITY OF LIECHTENSTEIN   (Liechtenstein)

^b IT UNIVERSITY OF COPENHAGEN   (Denmark)

^c FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Latent dirichlet allocation; Online customer reviews; Text mining; Topic modeling; User satisfaction

Indexed keywords

CUSTOMER SATISFACTION; INFORMATION SYSTEMS; INFORMATION USE; NATURAL LANGUAGE PROCESSING SYSTEMS; REGRESSION ANALYSIS; STATISTICS;

LATENT DIRICHLET ALLOCATION; ONLINE CUSTOMER REVIEWS; TEXT MINING; TOPIC MODELING; USER SATISFACTION;

DATA MINING;

EID: 84978505289     PISSN: 15293181     EISSN: None     Source Type: Journal    
DOI: 10.17705/1cais.03907     Document Type: Article

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