Proposing a systematic approach for integrating traditional research methods into machine learning in text analytics in tourism and hospitality

Truc H. Le, Charles Arcodia, Margarida Abreu Novais and Anna Kralj

Current Issues in Tourism, 2021, vol. 24, issue 12, 1640-1655

Abstract: This paper argues that the analysis of vast amounts of user-generated content, which are currently dominated by text analytics and machine learning, need more methodical incorporation of reliable traditional methodologies to facilitate deeper understanding of concepts and theory building. Specifically, a systematic approach that integrates machine learning and traditional research methods is needed to overcome inherent drawbacks of both approaches. A step-by-step methodological framework for the analysis of online reviews is proposed and demonstrated. An application of the framework with an example drawn from the context of understanding authenticity in dining experiences illustrates its usefulness in the investigation of complex concepts. This paper represents one of the first attempts to systematise an integrated learning approach to understand complex concepts and build theories in tourism and hospitality, contributing to more rigourous procedures for processing and analysing large data sets of user-generated content.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/13683500.2020.1829568 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rcitxx:v:24:y:2021:i:12:p:1640-1655

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rcit20

DOI: 10.1080/13683500.2020.1829568

Access Statistics for this article

Current Issues in Tourism is currently edited by Jennifer Tunstall

More articles in Current Issues in Tourism from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().