A Twitter Political Corpus Of The 2019 10n Spanish Election

TEXT, SPEECH, AND DIALOGUE (TSD 2020)(2020)

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摘要
We present a corpus of Spanish tweets of 15 Twitter accounts of politicians of the main five parties (PSOE, PP, Cs, UP and VOX) covering the campaign of the Spanish election of 10th November 2019 (10N Spanish Election). We perform a semi-automatic annotation of domain-specific topics using a mixture of keyword-based and supervised techniques. In this preliminary study we extracted the tweets of few politicians of each party with the aim to analyse their official communication strategy. Moreover, we analyse sentiments and emotions employed in the tweets. Although the limited size of the Twitter corpus due to the very short time span, we hope to provide with some first insights on the communication dynamics of social network accounts of these five Spanish political parties.
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关键词
Twitter, Political text analysis, Topic detection, Sentiment and emotion analysis
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