MEmoFC: introducing the Multilingual Emotional Football Corpus
Braun,Nadine van der Lee,Chris Gatti,Lorenzo Goudbeek,Martijn Krahmer,Emiel
Braun,Nadine
van der Lee,Chris
Gatti,Lorenzo
Goudbeek,Martijn
Krahmer,Emiel
Abstract
This paper introduces a new corpus of paired football match reports, the Multilingual Emotional Football Corpus, (MEmoFC), which has been manually collected from English, German, and Dutch websites of individual football clubs to investigate the way different emotional states (e.g. happiness for winning and disappointment for losing) are realized in written language. In addition to the reports, it also contains the statistics for the selected matches. MEmoFC is a corpus consisting of comparable subcorpora since the authors of the texts report on the same event from two different perspectives—the winner’s and the loser’s side, and from an arguably more neutral perspective in tied matches. We demonstrate how the corpus can be used to investigate the influence of affect on the reports through different approaches and illustrate how game outcome influences (1) references to the own team and the opponent, and (2) the use of positive and negative emotion terms in the different languages. The MEmoFC corpus, together with the analyzed aspects of emotional language will open up new approaches for targeted automatic generation of texts.
Description
Funding Information: We received financial support for this work from The Netherlands Organization for Scientific Research (NWO), via Grant PR-14-87 (Producing Affective Language: Content Selection, Message Formulation and Computational Modelling), which is gratefully acknowledged. A preliminary version of the corpus was presented at the International Conference on Natural Language Generation (INLG) in 2016 (Braun et al. ). Publisher Copyright: © 2020, The Author(s). Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
Date
2021
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Research Projects
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Keywords
AROUSAL, Affect, BASKING IN REFLECTED GLORY, Comparable corpora, Emotion, LANGUAGE USE, MOOD, Multilingual corpus, Natural language generation, Reportage, SENTIMENT ANALYSIS, Sports, VALENCE
Citation
Braun, N, van der Lee, C, Gatti, L, Goudbeek, M & Krahmer, E 2021, 'MEmoFC: introducing the Multilingual Emotional Football Corpus', Language Resources and Evaluation, vol. 55, no. 2, pp. 389-430. https://doi.org/10.1007/s10579-020-09508-2