Dataset Open Access

ArguAna TripAdvisor

Henning Wachsmuth; Martin Trenkmann; Benno Stein; Gregor Engels; Tsvetomira Palakarska


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  <identifier identifierType="DOI">10.5281/zenodo.3973241</identifier>
  <creators>
    <creator>
      <creatorName>Henning Wachsmuth</creatorName>
      <affiliation>Paderborn University</affiliation>
    </creator>
    <creator>
      <creatorName>Martin Trenkmann</creatorName>
      <affiliation>Bauhaus-Universität Weimar</affiliation>
    </creator>
    <creator>
      <creatorName>Benno Stein</creatorName>
      <affiliation>Bauhaus-Universität Weimar</affiliation>
    </creator>
    <creator>
      <creatorName>Gregor Engels</creatorName>
      <affiliation>Paderborn University</affiliation>
    </creator>
    <creator>
      <creatorName>Tsvetomira Palakarska</creatorName>
      <affiliation>Bauhaus-Universität Weimar</affiliation>
    </creator>
  </creators>
  <titles>
    <title>ArguAna TripAdvisor</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2014</publicationYear>
  <dates>
    <date dateType="Issued">2014-04-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3973241</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3973240</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;An&amp;nbsp;English&amp;nbsp;corpus for studying local sentiment flows and aspect-based sentiment analysis.&amp;nbsp;It contains 2100 hotel reviews balanced with respect to the reviews&amp;rsquo; sentiment scores. All reviews are segmented into subsentence-level statements that have then been manually classified as a fact, a positive, or a negative opinion. Also, all hotel aspects mentioned in the reviews have been annotated as such:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;arguana-tripadvisor-annotated-plus-software-v1.zip&lt;/li&gt;
	&lt;li&gt;arguana-tripadvisor-annotated-v2.zip&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;In addition, we provide nearly 200k further hotel reviews without manual annotations:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;v1 upon request&lt;/li&gt;
	&lt;li&gt;arguana-tripadvisor-unannotated-v2.zip&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;The corpus is free-to-use for scientific purposes, not for commercial applications. In version 2,&amp;nbsp;the annotated XMI files have been changed according to a new underlying type system that is more easily extendable. Notice that some adaptations of the software of version 1 are necessary to make it work with version 2.&lt;/p&gt;

&lt;p&gt;In case you publish any results related to the ArguAna TripAdvisor corpus, please cite our CICLing 2014 &lt;a href="https://webis.de/publications.html?q=bibid:stein_2014b"&gt;paper&lt;/a&gt;.&lt;/p&gt;</description>
  </descriptions>
</resource>
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