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arXiv:2206.14669 [cs.CL]AbstractReferencesReviewsResources

Towards a Data-Driven Requirements Engineering Approach: Automatic Analysis of User Reviews

Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais, Binbin Xu, Pierre Louis Bernard, Gérard Dray

Published 2022-06-29Version 1

We are concerned by Data Driven Requirements Engineering, and in particular the consideration of user's reviews. These online reviews are a rich source of information for extracting new needs and improvement requests. In this work, we provide an automated analysis using CamemBERT, which is a state-of-the-art language model in French. We created a multi-label classification dataset of 6000 user reviews from three applications in the Health & Fitness field. The results are encouraging and suggest that it's possible to identify automatically the reviews concerning requests for new features. Dataset is available at: https://github.com/Jl-wei/APIA2022-French-user-reviews-classification-dataset.

Comments: 7th National Conference on Practical Applications of Artificial Intelligence, 2022. Saint-\'Etienne, France. article in English and French, 4 pages each
Categories: cs.CL, cs.SE
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