Chapter Decomposing tourists' sentiment from raw NL text to assess customer satisfaction

Chapter Decomposing tourists' sentiment from raw NL text to assess customer satisfaction

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The importance of the Word of Mouth is growing day by day in many topics. This phenomenon is evident in everyday life, e.g., the rise of influencers and social media managers. If more people positively debate specific products, then even more people are encouraged to buy them and vice versa. This ef...

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Bibliographic Details
Main Author: Romano, Maurizio (auth)
Other Authors: MOLA, FRANCESCO (auth), CONVERSANO, CLAUDIO (auth)
Format: Electronic Book Chapter
Language:English
Published: Florence Firenze University Press 2021
Series:Proceedings e report 127
Subjects:
GSD
WoM
Threshold-based Naïve
Bayes
NLP
Sentiment Analysis
Customer Satisfaction
Online Access:OAPEN Library: download the publication
OAPEN Library: description of the publication
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