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A Bayesian Sampling Method for Product Feature Extraction from Large-Scale Textual Data
Sunghoon Lim, Conrad S. Tucker
School of Engineering Design and Innovation
Research output
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Contribution to journal
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Article
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peer-review
37
Scopus citations
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Dive into the research topics of 'A Bayesian Sampling Method for Product Feature Extraction from Large-Scale Textual Data'. Together they form a unique fingerprint.
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Keyphrases
Bayesian Sampling
100%
Text Data
100%
Product Feature Extraction
100%
Product Features
66%
Optimal Search
66%
Online Products
66%
Identical Distribution
66%
Identification Error
66%
Text Mining Algorithm
33%
Screen Size
33%
Product Data
33%
Source Impact
33%
Statistical Assumptions
33%
Relevant Results
33%
Product Design Methods
33%
Online Sources
33%
Engineering
Identification Error
66%
Extraction Process
66%
Text Data
33%
Related Product
33%
Product Data
33%
Data Source
33%
Computer Science
Product Feature
100%
Extraction Process
40%
Related Product
20%
Text Mining
20%
Training Data
20%