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Webis-Tripad-13-Sentiment
- webis.de
3266053Updated 2013
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EmailClick to copy linkLink copiedCiteHenning Wachsmuth; Joachim Köhring; Benno Stein (2013). Webis-Tripad-13-Sentiment [Dataset]. http://doi.org/10.5281/zenodo.32660533266053Available download formatsUnique identifierhttps://doi.org/10.5281/zenodo.3266053Dataset updated2013Dataset provided byThe Web Technology & Information Systems Network
Bauhaus-Universität Weimar
Leibniz Universität HannoverAuthorsHenning Wachsmuth; Joachim Köhring; Benno SteinLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe Webis Tripad 2013 Sentiment Corpus is a English text corpus of 2100 hotel reviews for the development and evaluation of approaches to sentiment flow analysis. Each document in this corpus is assigned an overall rating score, some metadata, and two kinds of annotations. First, each statement of a review's text has been classified with respect to its sentiment polarity (positive, negative, objective) by Amazon Mechanical Turk (AMT) workers. Second, hotel aspects mentioned in the texts were tagged by in-house domain experts.
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Webis Tripad Sentiment Corpus 2013 (Webis-Tripad-13-Sentiment)
- live.european-language-grid.eu
- data.niaid.nih.gov
- +1more
jsonUpdated Apr 19, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCite(2024). Webis Tripad Sentiment Corpus 2013 (Webis-Tripad-13-Sentiment) [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/7549jsonAvailable download formatsDataset updatedApr 19, 2024LicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe Webis Tripad 2013 Sentiment Corpus is a English text corpus of 2100 hotel reviews for the development and evaluation of approaches to sentiment flow analysis. Each document in this corpus is assigned an overall rating score, some metadata, and two kinds of annotations. First, each statement of a review's text has been classified with respect to its sentiment polarity (positive, negative, objective) by Amazon Mechanical Turk (AMT) workers. Second, hotel aspects mentioned in the texts were tagged by in-house domain experts.
To give an example, the sentence "The service was perfect and the rooms were clean." consists of two statements "The service was perfect" and "the rooms were clean", both with positive sentiment classification. The aspect in the first statement is "service" and "rooms" in the second, respectively.
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FacebookTwitterEmailBauhaus-Universität Weimar
Leibniz Universität Hannover
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Webis Tripad 2013 Sentiment Corpus is a English text corpus of 2100 hotel reviews for the development and evaluation of approaches to sentiment flow analysis. Each document in this corpus is assigned an overall rating score, some metadata, and two kinds of annotations. First, each statement of a review's text has been classified with respect to its sentiment polarity (positive, negative, objective) by Amazon Mechanical Turk (AMT) workers. Second, hotel aspects mentioned in the texts were tagged by in-house domain experts.