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Cited by 443Sentiment Analysis and Opinion MiningInformation Retrieval and Data MiningTopic Modeling

Survey on mining subjective data on the web

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Tsytsarau, Mikalai, Palpanas, Themis·2012·Data Mining and Knowledge Discovery
DOI 10.1007/s10618-011-0238-6
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Crossref · 10.1007/s10618-011-0238-6

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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  • The dictionary-based approach also includes a subcategory called semantic-based approach.

    “The dictionary-based approach also includes a subcategory called semantic-based approach (Tsytsarau & Palpanas, 2012).”

    From Sentiment Analysis in Tourism: Capitalizing on Big Data (2019) · cites this paper as Tsytsarau & Palpanas, 2012

  • The dictionary-based approach was improved by introducing semantic-based analysis methods.

    “The dictionary-based approach was improved by introducing semantic-based analysis methods (Tsytsarau & Palpanas, 2012).”

    From Sentiment Analysis in Tourism: Capitalizing on Big Data (2019) · cites this paper as Tsytsarau & Palpanas, 2012

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Authors
Tsytsarau, M., & Palpanas, T.
Affiliations
University of Trento (IT)
Corresponding author
Tsytsarau, Mikalai
ORCID
Palpanas, Themis
Venue
Data Mining and Knowledge Discovery
Publisher
Springer Science and Business Media LLC
Published
2011-10-19
Volume
24
Issue
3
Pages
478-514
ISSN
  • 1384-5810 (ISSN-L)
  • 1573-756X
DOI
10.1007/s10618-011-0238-6
OpenAlex
W2120400822
Cited by
443
References
2
Citations by year
2026: 5 · 2025: 10 · 2024: 31 · 2023: 25 · 2022: 28 · 2021: 39 · 2020: 33 · 2019: 33 · 2018: 33 · 2017: 45 · 2016: 41 · 2015: 45 · 2014: 35 · 2013: 22 · 2012: 14
FWCI
20.60
Type
journal article
Language
en
Open access
Licence
www.springer.com/tdm (tdm)
Locations
  • Data Mining and Knowledge Discovery (publishedVersion)
  • Unitn Eprints Research (Università Degli Studi di Trento) (submittedVersion)
  • Institutional Research Information System (Università degli Studi di Trento) (submittedVersion, other-oa)
  • Institutional Research Information System (Università degli Studi di Trento) (submittedVersion)
  • Iris (University of Trento) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
  • Physical Sciences › Computer Science › Information Systems › Information Retrieval and Data Mining
  • Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
Keywords
sentiment analysis, opinion retrieval, opinion aggregation, product reviews, contradiction analysis, user-generated content, web mining, opinion trends, information dissemination

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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