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

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 Authors:	Romano, Maurizio, Mola, Francesco, Conversano, Claudio
Format:	Online
Language:	English
Published:	Firenze University Press 2022
Subjects:	GSD WoM Threshold-based Naïve Bayes NLP Sentiment Analysis Customer Satisfaction thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics
Online Access:	ONIX_20220915_9788855183048_4
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