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EXTRACTING ACTIONABLE INSIGHTS FROM TEXT DATA: A STABLE TOPIC MODEL APPROACH
Yi Yang,
Ramanath Subramanyam
Gies College of Business
Business Administration
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Dive into the research topics of 'EXTRACTING ACTIONABLE INSIGHTS FROM TEXT DATA: A STABLE TOPIC MODEL APPROACH'. Together they form a unique fingerprint.
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Keyphrases
Actionable Insights
100%
Consistent Estimation
33%
Consumer Reviews
33%
Econometric Analysis
66%
LDA Approach
33%
Management Scholar
66%
Model Inference
33%
Model Stability
33%
Online Forums
33%
Online Knowledge Community
33%
Online Reviews
33%
Quality Model
33%
Stability Problem
33%
Text Data
100%
Textual Corpus
33%
Textual Datasets
33%
Theoretical Relationship
33%
Topic Modeling
33%
Variables of Interest
33%
Word Clusters
33%
Computer Science
Case Study
33%
Discussion Forum
33%
Inference Model
33%
Information System
33%
Knowledge Community
33%
Linear Discriminant Analysis
100%
Online Discussions
33%
quality model
33%
Topic Modeling
33%
Social Sciences
Case Study
50%
Econometrics
100%
Information Systems
50%
Online Discussion
50%
Economics, Econometrics and Finance
Econometrics
100%