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        <title>The Validity of Lexicon-based Sentiment Analysis in Interdisciplinary Research</title>
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            <namePart type="given">Mika</namePart>
            <namePart type="family">Hämäläinen</namePart>
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            <namePart type="given">Khalid</namePart>
            <namePart type="family">Alnajjar</namePart>
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    <abstract>Lexicon-based sentiment and emotion analysis methods are widely used particularly in applied Natural Language Processing (NLP) projects in fields such as computational social science and digital humanities. These lexicon-based methods have often been criticized for their lack of validation and accuracy – sometimes fairly. However, in this paper, we argue that lexicon-based methods work well particularly when moving up in granularity and show how useful lexicon-based methods can be for projects where neither qualitative analysis nor a machine learning-based approach is possible. Indeed, we argue that the measure of a lexicon’s accuracy should be grounded in its usefulness.</abstract>
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%0 Conference Proceedings
%T The Validity of Lexicon-based Sentiment Analysis in Interdisciplinary Research
%A Öhman, Emily
%Y Hämäläinen, Mika
%Y Alnajjar, Khalid
%Y Partanen, Niko
%Y Rueter, Jack
%S Proceedings of the Workshop on Natural Language Processing for Digital Humanities
%D 2021
%8 December
%I NLP Association of India (NLPAI)
%C NIT Silchar, India
%F ohman-2021-validity
%X Lexicon-based sentiment and emotion analysis methods are widely used particularly in applied Natural Language Processing (NLP) projects in fields such as computational social science and digital humanities. These lexicon-based methods have often been criticized for their lack of validation and accuracy – sometimes fairly. However, in this paper, we argue that lexicon-based methods work well particularly when moving up in granularity and show how useful lexicon-based methods can be for projects where neither qualitative analysis nor a machine learning-based approach is possible. Indeed, we argue that the measure of a lexicon’s accuracy should be grounded in its usefulness.
%U https://aclanthology.org/2021.nlp4dh-1.2
%P 7-12

Markdown (Informal)

[The Validity of Lexicon-based Sentiment Analysis in Interdisciplinary Research](https://aclanthology.org/2021.nlp4dh-1.2) (Öhman, NLP4DH 2021)

• The Validity of Lexicon-based Sentiment Analysis in Interdisciplinary Research (Öhman, NLP4DH 2021)

ACL

• Emily Öhman. 2021. The Validity of Lexicon-based Sentiment Analysis in Interdisciplinary Research. In Proceedings of the Workshop on Natural Language Processing for Digital Humanities, pages 7–12, NIT Silchar, India. NLP Association of India (NLPAI).