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Book chapter Scopus Source The journal / series is indexed in Scopus (SCImago list). The article itself has not been verified. 7 Citations Quartil Q3

PANAS-TDL: A Psychrometric Deep Learning Model for Characterizing Sentiments of Tourists Against the COVID-19 Pandemic on Twitter

Peña, Alejandro , Mesias, Jorge , Patiño, Alejandro , Carvalho, Joao Vidal , Gomez, Gregorio , Ibarra, Kevin , Bedoya, Santiago
ISLA — Instituto Politécnico de Gestão e Tecnologia
Advances in Tourism, Technology and Systems, 2020 Published by: Springer Singapore
DOI: 10.1007/978-981-33-4260-6_15

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Abstract
Abstract not provided by the author or the indexing source.

Keywords

#tourist sentiment #COVID-19 pandemic #tourist destination perception #Twitter comments #Tourism promotion #weather conditions #seasonal variation #economic factors #Social media #Tourism #Destinations #Scale (ratio) #Context (archaeology) #Pandemic #Perception

Bibliographic Details

Publication Type Book chapter
Publication Year 2020
Journal / Conference / Work Advances in Tourism, Technology and Systems
ISSN 2190-3018
ISBN 9789813342590
Publisher Springer Singapore
Quartile (SCImago) Q3
Scopus Indexing Indexed source (via SCImago)

ISLA Authors & Affiliations

A
António João Vidal Carvalho
cajvidal@iscap.ipp.pt ID: BE19-2578-8EDF
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