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Using Online Reviews for Customer Sentiment Analysis
Rae Yule Kim
Marketing
Research output
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Contribution to journal
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Article
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peer-review
16
Scopus citations
Overview
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Dive into the research topics of 'Using Online Reviews for Customer Sentiment Analysis'. Together they form a unique fingerprint.
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Keyphrases
Common Metrics
16%
Customer Emotion
100%
Customer Feedback
33%
Diffusion of Innovation
16%
Dissatisfied Customers
16%
Extremity Bias
33%
Innovation Manager
16%
Negative Customers
16%
Online Review Ratings
66%
Online Reviews
100%
Positive Customers
16%
Positive Word of Mouth
16%
Review Length
16%
Review Volume
33%
Sentiment Analysis
100%
Sentiment Score
50%
Successful Innovation
16%
Text Mining Techniques
16%
Psychology
Gaussian Distribution
100%
Text Mining
100%
Social Sciences
Extreme Value
100%
Sentiment Analysis
100%
Economics, Econometrics and Finance
Extreme Value
10%
Innovation Diffusion
10%
Online Reviews
100%