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Explaining tourist revisit intention using natural language processing and classification techniques

Explaining tourist revisit intention using natural language processing and classification techniques

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_35e6fdc9c9324c01be08623993e54e46

Explaining tourist revisit intention using natural language processing and classification techniques

About this item

Full title

Explaining tourist revisit intention using natural language processing and classification techniques

Publisher

Cham: Springer International Publishing

Journal title

Journal of Big Data, 2023-12, Vol.10 (1), p.60-31, Article 60

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

Revisit intention is a key indicator of business performance, studied in many fields including hospitality. This work employs big data analytics to investigate revisit intention patterns from tourists’ electronic word of mouth (eWOM) using text classification, negation detection, and topic modelling. The method is applied on publicly available hote...

Alternative Titles

Full title

Explaining tourist revisit intention using natural language processing and classification techniques

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_35e6fdc9c9324c01be08623993e54e46

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_35e6fdc9c9324c01be08623993e54e46

Other Identifiers

ISSN

2196-1115

E-ISSN

2196-1115

DOI

10.1186/s40537-023-00740-5

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