<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="mohammad-2023-best">
    <titleInfo>
        <title>Best Practices in the Creation and Use of Emotion Lexicons</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Saif</namePart>
        <namePart type="family">Mohammad</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2023-05</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Findings of the Association for Computational Linguistics: EACL 2023</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Andreas</namePart>
            <namePart type="family">Vlachos</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Isabelle</namePart>
            <namePart type="family">Augenstein</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Dubrovnik, Croatia</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Words play a central role in how we express ourselves. Lexicons of word–emotion associations are widely used in research and real-world applications for sentiment analysis, tracking emotions associated with products and policies, studying health disorders, tracking emotional arcs of stories, and so on. However, inappropriate and incorrect use of these lexicons can lead to not just sub-optimal results, but also inferences that are directly harmful to people. This paper brings together ideas from Affective Computing and AI Ethics to present, some of the practical and ethical considerations involved in the creation and use of emotion lexicons – best practices. The goal is to provide a comprehensive set of relevant considerations, so that readers (especially those new to work with emotions) can find relevant information in one place. We hope this work will facilitate more thoughtfulness when one is deciding on what emotions to work on, how to create an emotion lexicon, how to use an emotion lexicon, how to draw meaningful inferences, and how to judge success.</abstract>
    <identifier type="citekey">mohammad-2023-best</identifier>
    <identifier type="doi">10.18653/v1/2023.findings-eacl.136</identifier>
    <location>
        <url>https://aclanthology.org/2023.findings-eacl.136</url>
    </location>
    <part>
        <date>2023-05</date>
        <extent unit="page">
            <start>1825</start>
            <end>1836</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Best Practices in the Creation and Use of Emotion Lexicons
%A Mohammad, Saif
%Y Vlachos, Andreas
%Y Augenstein, Isabelle
%S Findings of the Association for Computational Linguistics: EACL 2023
%D 2023
%8 May
%I Association for Computational Linguistics
%C Dubrovnik, Croatia
%F mohammad-2023-best
%X Words play a central role in how we express ourselves. Lexicons of word–emotion associations are widely used in research and real-world applications for sentiment analysis, tracking emotions associated with products and policies, studying health disorders, tracking emotional arcs of stories, and so on. However, inappropriate and incorrect use of these lexicons can lead to not just sub-optimal results, but also inferences that are directly harmful to people. This paper brings together ideas from Affective Computing and AI Ethics to present, some of the practical and ethical considerations involved in the creation and use of emotion lexicons – best practices. The goal is to provide a comprehensive set of relevant considerations, so that readers (especially those new to work with emotions) can find relevant information in one place. We hope this work will facilitate more thoughtfulness when one is deciding on what emotions to work on, how to create an emotion lexicon, how to use an emotion lexicon, how to draw meaningful inferences, and how to judge success.
%R 10.18653/v1/2023.findings-eacl.136
%U https://aclanthology.org/2023.findings-eacl.136
%U https://doi.org/10.18653/v1/2023.findings-eacl.136
%P 1825-1836

Markdown (Informal)

[Best Practices in the Creation and Use of Emotion Lexicons](https://aclanthology.org/2023.findings-eacl.136) (Mohammad, Findings 2023)

• Best Practices in the Creation and Use of Emotion Lexicons (Mohammad, Findings 2023)

ACL

• Saif Mohammad. 2023. Best Practices in the Creation and Use of Emotion Lexicons. In Findings of the Association for Computational Linguistics: EACL 2023, pages 1825–1836, Dubrovnik, Croatia. Association for Computational Linguistics.