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.
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Mora, N., & Lavid, J. (2018). Building an annotated dataset of app store reviews with Appraisal features in English and Spanish. In Proceedings of the 2nd Workshop on Computational Modeling of PFople’s Opinions, PersonaLity, and Emotions in Social Media, PEOPLES 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018 (pp. 16–24). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w18-1103
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