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Cited by 35Sentiment Analysis and Opinion MiningTopic ModelingComputational and Text Analysis Methods

Topic Detection: Identifying Relevant Topics in Tourism Reviews

Menner, Thomas, Höpken, Wolfram, Fuchs, Matthias, Lexhagen, Maria·2016·Information and Communication Technologies in Tourism 2016
DOI 10.1007/978-3-319-28231-2_30
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Crossref · 10.1007/978-3-319-28231-2_30

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1 of 1 references verified0 citation errors · 0 not checkable

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  • One commonly used feature extraction technique is based on term occurrences, called term frequency (TF) or term frequency-invers document frequency (TF-IDF).

    “One of the commonly used feature extraction techniques is based on term occurrences, called term frequency (TF) or term frequency-invers document frequency (TF-IDF).”

    From Sentiment Analysis in Tourism: Capitalizing on Big Data (2019) · cites this paper as Menner et al., 2016

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Authors
Menner, T., Höpken, W., Fuchs, M., & Lexhagen, M.
Affiliations
  • University of Applied Sciences Ravensburg-Weingarten (DE)
  • Mid Sweden University (SE)
Corresponding author
Höpken, Wolfram
ORCID
Venue
Information and Communication Technologies in Tourism 2016
Publisher
Springer International Publishing
Published
2016
Pages
411-423
DOI
10.1007/978-3-319-28231-2_30
OpenAlex
W2341749105
Cited by
35
References
1
Citations by year
2026: 1 · 2025: 1 · 2024: 5 · 2023: 1 · 2022: 2 · 2021: 3 · 2020: 4 · 2019: 8 · 2018: 4 · 2017: 6
FWCI
10.49
Type
book chapter
Language
en
Open access
closed
Licence
www.springer.com/tdm (unspecified)
Locations
  • Springer eBooks (publishedVersion)
  • Open Research (University of Surrey) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
  • Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
  • Social Sciences › General Social Sciences › Computational and Text Analysis Methods
Keywords
topic extraction, tourism reviews, user-generated content, hotel reviews, sentiment analysis, product attributes, mountain tourism, Ares, destination management

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