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        <title>Tecnolengua Lingmotif at EmoInt-2017: A lexicon-based approach</title>
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            <title>Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis</title>
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            <namePart type="given">Alexandra</namePart>
            <namePart type="family">Balahur</namePart>
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            <namePart type="given">Saif</namePart>
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    <abstract>In this paper we describe Tecnolengua Group’s participation in the shared task on emotion intensity at WASSA 2017. We used the Lingmotif tool and a new, complementary tool, Lingmotif Learn, which we developed for this occasion. We based our intensity predictions for the four test datasets entirely on Lingmotif’s TSS (text sentiment score) feature. We also developed mechanisms for dealing with the idiosyncrasies of Twitter text. Results were comparatively poor, but the experience meant a good opportunity for us to identify issues in our score calculation for short texts, a genre for which the Lingmotif tool was not originally designed.</abstract>
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%0 Conference Proceedings
%T Tecnolengua Lingmotif at EmoInt-2017: A lexicon-based approach
%A Moreno-Ortiz, Antonio
%Y Balahur, Alexandra
%Y Mohammad, Saif M.
%Y van der Goot, Erik
%S Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F moreno-ortiz-2017-tecnolengua
%X In this paper we describe Tecnolengua Group’s participation in the shared task on emotion intensity at WASSA 2017. We used the Lingmotif tool and a new, complementary tool, Lingmotif Learn, which we developed for this occasion. We based our intensity predictions for the four test datasets entirely on Lingmotif’s TSS (text sentiment score) feature. We also developed mechanisms for dealing with the idiosyncrasies of Twitter text. Results were comparatively poor, but the experience meant a good opportunity for us to identify issues in our score calculation for short texts, a genre for which the Lingmotif tool was not originally designed.
%R 10.18653/v1/W17-5231
%U https://aclanthology.org/W17-5231
%U https://doi.org/10.18653/v1/W17-5231
%P 225-232

Markdown (Informal)

[Tecnolengua Lingmotif at EmoInt-2017: A lexicon-based approach](https://aclanthology.org/W17-5231) (Moreno-Ortiz, WASSA 2017)

• Tecnolengua Lingmotif at EmoInt-2017: A lexicon-based approach (Moreno-Ortiz, WASSA 2017)

ACL

• Antonio Moreno-Ortiz. 2017. Tecnolengua Lingmotif at EmoInt-2017: A lexicon-based approach. In Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 225–232, Copenhagen, Denmark. Association for Computational Linguistics.