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        <title>Building an annotated dataset of app store reviews with Appraisal features in English and Spanish</title>
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            <title>Proceedings of the Second Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media</title>
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        <name type="personal">
            <namePart type="given">Malvina</namePart>
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        <name type="personal">
            <namePart type="given">Viviana</namePart>
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    <abstract>This paper describes the creation and annotation of a dataset consisting of 250 English and Spanish app store reviews from Google’s Play Store with Appraisal features. This is one of the most influential linguistic frameworks for the analysis of evaluation and opinion in discourse due to its insightful descriptive features. However, it has not been extensively applied in NLP in spite of its potential for the classification of the subjective content of these reviews. We describe the dataset, the annotation scheme and guidelines, the agreement studies, the annotation results and their impact on the characterisation of this genre.</abstract>
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%0 Conference Proceedings
%T Building an annotated dataset of app store reviews with Appraisal features in English and Spanish
%A Mora, Natalia
%A Lavid-López, Julia
%Y Nissim, Malvina
%Y Patti, Viviana
%Y Plank, Barbara
%Y Wagner, Claudia
%S Proceedings of the Second Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana, USA
%F mora-lavid-lopez-2018-building
%X This paper describes the creation and annotation of a dataset consisting of 250 English and Spanish app store reviews from Google’s Play Store with Appraisal features. This is one of the most influential linguistic frameworks for the analysis of evaluation and opinion in discourse due to its insightful descriptive features. However, it has not been extensively applied in NLP in spite of its potential for the classification of the subjective content of these reviews. We describe the dataset, the annotation scheme and guidelines, the agreement studies, the annotation results and their impact on the characterisation of this genre.
%R 10.18653/v1/W18-1103
%U https://aclanthology.org/W18-1103
%U https://doi.org/10.18653/v1/W18-1103
%P 16-24

Markdown (Informal)

[Building an annotated dataset of app store reviews with Appraisal features in English and Spanish](https://aclanthology.org/W18-1103) (Mora & Lavid-López, PEOPLES 2018)

• Building an annotated dataset of app store reviews with Appraisal features in English and Spanish (Mora & Lavid-López, PEOPLES 2018)

ACL

• Natalia Mora and Julia Lavid-López. 2018. Building an annotated dataset of app store reviews with Appraisal features in English and Spanish. In Proceedings of the Second Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media, pages 16–24, New Orleans, Louisiana, USA. Association for Computational Linguistics.