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          <titl xml:lang="en">Training Data for German Sentiment Analysis of Political Communication (SUF edition)</titl>
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        <titl xml:lang="en">Training Data for German Sentiment Analysis of Political Communication (SUF edition)</titl>
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        <AuthEnty affiliation="University of Vienna" xml:lang="en">Haselmayer, Martin
        </AuthEnty><AuthEnty affiliation="University of Innsbruck" xml:lang="en">Jenny, Marcelo
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        <topcClas xml:lang="en" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification?v=2.0&amp;lang=en">Elections</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification?v=2.0&amp;lang=en">Government, political systems and organisations</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification?v=2.0&amp;lang=en">Elites and leadership</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification?v=2.0&amp;lang=en">Political behaviour and attitudes</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification?v=2.0&amp;lang=en">Language and linguistics</topcClas>
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      <abstract xml:lang="en">Full edition for scientific use. The dataset contains 125871 sentences extracted from Austrian parliamentary debates and party press releases. Press releases were collected under the auspices of the Austrian National Election Study (AUTNES) and cover 6 weeks prior to each national election 1995-2013. Data from parliamentary debates stem from a random sample of sentences drawn from sessions of the Austrian National Council (1995-2013). The sentiment of the sentences was crowdcoded on a five-point-scale ranging from 0 “Not negative” to 5 “Very strongly negative”. As each sentence has been coded by ten coders, there are multiple codingids for each unitid (sentence).</abstract>
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