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Assessing reliability of social media data: lessons from mining TripAdvisor hotel reviews · Study

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ArticleAssessing reliability of social media data: lessons from mining TripAdvisor hotel reviews

Zheng Xiang2017

Article2017

Assessing reliability of social media data: lessons from mining TripAdvisor hotel reviews

Zheng Xiang · Qianzhou Du · Yufeng Ma · Weiguo Fan

71 citations·0/0 files stored·Information Technology & Tourism

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Computational and Text Analysis Methods Digital Marketing and Social Media Sentiment Analysis and Opinion Mining

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 71 citations exist upstream.

References

2009Computational Social Science 2014What can big data and text analytics tell us about hotel guest experience and satisfaction?2014Big Questions for Social Media Big Data: Representativeness, Validity and Other Methodological Pitfalls 2014Social media for large studies of behavior 2014Big data, bigger dilemmas: A critical review

Cited by

2022Analytics of social media data – State of characteristics and application 2019Determinants of hotel guests’ service experiences: an examination of differences between lifestyle and traditional hotels 2021Understanding the perceived satisfaction and revisiting intentions of lodgers in a restricted service scenario: evidence from the hotel industry in quarantine 2020Proposing a systematic approach for integrating traditional research methods into machine learning in text analytics in tourism and hospitality 2021The Future of Interdisciplinary Research in the Digital Era: Obstacles and Perspectives of Collaboration in Social and Data Sciences - An Empirical Study 2024Travelers' perception of smart airport facilities: An X (Twitter) sentiment analysis 2020Coordination and collaboration for humanitarian operational excellence: big data and modern information processing systems 2023Understanding the value of host-guest intimacy behind online reviews of Airbnb

Details

Year2017

Typearticle

Published2017-12-11

VenueInformation Technology & Tourism

ISSN-L1098-3058

Languageen

Citations71

Files0 public / 0

ShelfComputational and Text Analysis Methods

Identifiers

doi10.1007/s40558-017-0098-z

openalex_workW2569980040

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