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    <titleInfo>
        <title>Lingmotif: Sentiment Analysis for the Digital Humanities</title>
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    <name type="personal">
        <namePart type="given">Antonio</namePart>
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            <title>Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics</title>
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        <name type="personal">
            <namePart type="given">André</namePart>
            <namePart type="family">Martins</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Anselmo</namePart>
            <namePart type="family">Peñas</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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            <publisher>Association for Computational Linguistics</publisher>
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    <abstract>Lingmotif is a lexicon-based, linguistically-motivated, user-friendly, GUI-enabled, multi-platform, Sentiment Analysis desktop application. Lingmotif can perform SA on any type of input texts, regardless of their length and topic. The analysis is based on the identification of sentiment-laden words and phrases contained in the application’s rich core lexicons, and employs context rules to account for sentiment shifters. It offers easy-to-interpret visual representations of quantitative data (text polarity, sentiment intensity, sentiment profile), as well as a detailed, qualitative analysis of the text in terms of its sentiment. Lingmotif can also take user-provided plugin lexicons in order to account for domain-specific sentiment expression. Lingmotif currently analyzes English and Spanish texts.</abstract>
    <identifier type="citekey">moreno-ortiz-2017-lingmotif</identifier>
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        <url>https://aclanthology.org/E17-3019</url>
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        <date>2017-04</date>
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            <start>73</start>
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%0 Conference Proceedings
%T Lingmotif: Sentiment Analysis for the Digital Humanities
%A Moreno-Ortiz, Antonio
%Y Martins, André
%Y Peñas, Anselmo
%S Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F moreno-ortiz-2017-lingmotif
%X Lingmotif is a lexicon-based, linguistically-motivated, user-friendly, GUI-enabled, multi-platform, Sentiment Analysis desktop application. Lingmotif can perform SA on any type of input texts, regardless of their length and topic. The analysis is based on the identification of sentiment-laden words and phrases contained in the application’s rich core lexicons, and employs context rules to account for sentiment shifters. It offers easy-to-interpret visual representations of quantitative data (text polarity, sentiment intensity, sentiment profile), as well as a detailed, qualitative analysis of the text in terms of its sentiment. Lingmotif can also take user-provided plugin lexicons in order to account for domain-specific sentiment expression. Lingmotif currently analyzes English and Spanish texts.
%U https://aclanthology.org/E17-3019
%P 73-76

Markdown (Informal)

[Lingmotif: Sentiment Analysis for the Digital Humanities](https://aclanthology.org/E17-3019) (Moreno-Ortiz, EACL 2017)

• Lingmotif: Sentiment Analysis for the Digital Humanities (Moreno-Ortiz, EACL 2017)

ACL

• Antonio Moreno-Ortiz. 2017. Lingmotif: Sentiment Analysis for the Digital Humanities. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 73–76, Valencia, Spain. Association for Computational Linguistics.