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    <titleInfo>
        <title>Human Value Detection from Bilingual Sensory Product Reviews</title>
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    <name type="personal">
        <namePart type="given">Boyu</namePart>
        <namePart type="family">Niu</namePart>
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    <name type="personal">
        <namePart type="given">Céline</namePart>
        <namePart type="family">Manetta</namePart>
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            <roleTerm authority="marcrelator" type="text">author</roleTerm>
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    <name type="personal">
        <namePart type="given">Frédérique</namePart>
        <namePart type="family">Segond</namePart>
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        <dateIssued>2023-09</dateIssued>
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            <title>Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing</title>
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        <name type="personal">
            <namePart type="given">Ruslan</namePart>
            <namePart type="family">Mitkov</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Galia</namePart>
            <namePart type="family">Angelova</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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            <publisher>INCOMA Ltd., Shoumen, Bulgaria</publisher>
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    <abstract>We applied text classification methods on a corpus of product reviews we created with the help of a questionnaire. We found that for certain values, “traditional” deep neural networks like CNN can give promising results compared to the baseline. We propose some ideas to improve the results in the future. The bilingual corpus we created which contains more than 16 000 consumer reviews associated to the human value profile of the authors can be used for different marketing purposes.</abstract>
    <identifier type="citekey">niu-etal-2023-human</identifier>
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        <url>https://aclanthology.org/2023.ranlp-1.86</url>
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        <date>2023-09</date>
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            <start>792</start>
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%0 Conference Proceedings
%T Human Value Detection from Bilingual Sensory Product Reviews
%A Niu, Boyu
%A Manetta, Céline
%A Segond, Frédérique
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
%D 2023
%8 September
%I INCOMA Ltd., Shoumen, Bulgaria
%C Varna, Bulgaria
%F niu-etal-2023-human
%X We applied text classification methods on a corpus of product reviews we created with the help of a questionnaire. We found that for certain values, “traditional” deep neural networks like CNN can give promising results compared to the baseline. We propose some ideas to improve the results in the future. The bilingual corpus we created which contains more than 16 000 consumer reviews associated to the human value profile of the authors can be used for different marketing purposes.
%U https://aclanthology.org/2023.ranlp-1.86
%P 792-802

Markdown (Informal)

[Human Value Detection from Bilingual Sensory Product Reviews](https://aclanthology.org/2023.ranlp-1.86) (Niu et al., RANLP 2023)

• Human Value Detection from Bilingual Sensory Product Reviews (Niu et al., RANLP 2023)

ACL

• Boyu Niu, Céline Manetta, and Frédérique Segond. 2023. Human Value Detection from Bilingual Sensory Product Reviews. In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, pages 792–802, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.