<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="hosseinia-etal-2021-usefulness">
    <titleInfo>
        <title>On the Usefulness of Personality Traits in Opinion-oriented Tasks</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Marjan</namePart>
        <namePart type="family">Hosseinia</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Eduard</namePart>
        <namePart type="family">Dragut</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Dainis</namePart>
        <namePart type="family">Boumber</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Arjun</namePart>
        <namePart type="family">Mukherjee</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2021-09</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Ruslan</namePart>
            <namePart type="family">Mitkov</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Galia</namePart>
            <namePart type="family">Angelova</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>INCOMA Ltd.</publisher>
            <place>
                <placeTerm type="text">Held Online</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>We use a deep bidirectional transformer to extract the Myers-Briggs personality type from user-generated data in a multi-label and multi-class classification setting. Our dataset is large and made up of three available personality datasets of various social media platforms including Reddit, Twitter, and Personality Cafe forum. We induce personality embeddings from our transformer-based model and investigate if they can be used for downstream text classification tasks. Experimental evidence shows that personality embeddings are effective in three classification tasks including authorship verification, stance, and hyperpartisan detection. We also provide novel and interpretable analysis for the third task: hyperpartisan news classification.</abstract>
    <identifier type="citekey">hosseinia-etal-2021-usefulness</identifier>
    <location>
        <url>https://aclanthology.org/2021.ranlp-1.62</url>
    </location>
    <part>
        <date>2021-09</date>
        <extent unit="page">
            <start>547</start>
            <end>556</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T On the Usefulness of Personality Traits in Opinion-oriented Tasks
%A Hosseinia, Marjan
%A Dragut, Eduard
%A Boumber, Dainis
%A Mukherjee, Arjun
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
%D 2021
%8 September
%I INCOMA Ltd.
%C Held Online
%F hosseinia-etal-2021-usefulness
%X We use a deep bidirectional transformer to extract the Myers-Briggs personality type from user-generated data in a multi-label and multi-class classification setting. Our dataset is large and made up of three available personality datasets of various social media platforms including Reddit, Twitter, and Personality Cafe forum. We induce personality embeddings from our transformer-based model and investigate if they can be used for downstream text classification tasks. Experimental evidence shows that personality embeddings are effective in three classification tasks including authorship verification, stance, and hyperpartisan detection. We also provide novel and interpretable analysis for the third task: hyperpartisan news classification.
%U https://aclanthology.org/2021.ranlp-1.62
%P 547-556

Markdown (Informal)

[On the Usefulness of Personality Traits in Opinion-oriented Tasks](https://aclanthology.org/2021.ranlp-1.62) (Hosseinia et al., RANLP 2021)

• On the Usefulness of Personality Traits in Opinion-oriented Tasks (Hosseinia et al., RANLP 2021)

ACL

• Marjan Hosseinia, Eduard Dragut, Dainis Boumber, and Arjun Mukherjee. 2021. On the Usefulness of Personality Traits in Opinion-oriented Tasks. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), pages 547–556, Held Online. INCOMA Ltd..