Dataset Open Access

News Headline Sentiment Dataset

Chang Wei Tan; Christoph Bergmeir; Francois Petitjean; Geoffrey I Webb


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  <identifier identifierType="DOI">10.5281/zenodo.3902718</identifier>
  <creators>
    <creator>
      <creatorName>Chang Wei Tan</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-8377-3241</nameIdentifier>
      <affiliation>Monash University</affiliation>
    </creator>
    <creator>
      <creatorName>Christoph Bergmeir</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-3665-9021</nameIdentifier>
      <affiliation>Monash University</affiliation>
    </creator>
    <creator>
      <creatorName>Francois Petitjean</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-5334-3574</nameIdentifier>
      <affiliation>Monash University</affiliation>
    </creator>
    <creator>
      <creatorName>Geoffrey I Webb</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9963-5169</nameIdentifier>
      <affiliation>Monash University</affiliation>
    </creator>
  </creators>
  <titles>
    <title>News Headline Sentiment Dataset</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>time series</subject>
    <subject>regression</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-06-21</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
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    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3902718</alternateIdentifier>
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  </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;This dataset is part of the Monash, UEA &amp;amp;&amp;nbsp;UCR time series regression repository.&amp;nbsp;&lt;a href="http://tseregression.org/"&gt;http://tseregression.org/&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;The goal of this dataset is to predict sentiment score for news headline.&amp;nbsp;This dataset contains 83164 time series obtained from the News Popularity in Multiple Social Media Platforms dataset from the UCI repository.&amp;nbsp;This is a large data set of news items and their respective social feedback on multiple platforms: Facebook, Google+ and LinkedIn.&amp;nbsp;The collected data relates to a period of 8 months, between November 2015 and July 2016, accounting for about 100,000 news items on four different topics: economy, microsoft, obama and palestine.&amp;nbsp;This data set is tailored for evaluative comparisons in predictive analytics tasks, although allowing for tasks in other research areas such as topic detection and tracking, sentiment analysis in short text, first story detection or news recommendation.&amp;nbsp;The time series has 3 dimensions.&amp;nbsp;&lt;br&gt;
&lt;br&gt;
Please refer to &lt;a href="https://archive.ics.uci.edu/ml/datasets/News+Popularity+in+Multiple+Social+Media+Platforms"&gt;https://archive.ics.uci.edu/ml/datasets/News+Popularity+in+Multiple+Social+Media+Platforms&lt;/a&gt;&amp;nbsp;for more details&lt;br&gt;
&lt;br&gt;
Citation request&lt;br&gt;
Nuno Moniz and Luis Torgo (2018), Multi-Source Social Feedback of Online News Feeds, CoRR&lt;/p&gt;</description>
  </descriptions>
</resource>
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