RE-BERT: automatic extraction of software requirements from app reviews using BERT language model (2021)
- Authors:
- USP affiliated authors: MARCACINI, RICARDO MARCONDES - ICMC ; ARAUJO, ADAILTON FERREIRA DE - ICMC
- Unidade: ICMC
- DOI: 10.1145/3412841.3442006
- Subjects: ANÁLISE DE REQUISITOS; REDES NEURAIS; PROCESSAMENTO DE LINGUAGEM NATURAL; MINERAÇÃO DE DADOS
- Keywords: app reviews; opinion mining; requirement extraction; requirement engineering; BERT; neural language models
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: Symposium on Applied Computing - SAC
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
ARAUJO, Adailton Ferreira de e MARCACINI, Ricardo Marcondes. RE-BERT: automatic extraction of software requirements from app reviews using BERT language model. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3412841.3442006. Acesso em: 31 mar. 2026. -
APA
Araujo, A. F. de, & Marcacini, R. M. (2021). RE-BERT: automatic extraction of software requirements from app reviews using BERT language model. In Proceedings. New York: ACM. doi:10.1145/3412841.3442006 -
NLM
Araujo AF de, Marcacini RM. RE-BERT: automatic extraction of software requirements from app reviews using BERT language model [Internet]. Proceedings. 2021 ;[citado 2026 mar. 31 ] Available from: https://doi.org/10.1145/3412841.3442006 -
Vancouver
Araujo AF de, Marcacini RM. RE-BERT: automatic extraction of software requirements from app reviews using BERT language model [Internet]. Proceedings. 2021 ;[citado 2026 mar. 31 ] Available from: https://doi.org/10.1145/3412841.3442006 - Temporal dynamics of requirements engineering from mobile app reviews
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- Detecting relevant app reviews for software evolution and maintenance through multimodal one-class learning
- Opinion mining for app reviews: an analysis of textual representation and predictive models
- From reviews to features: opinion mining from user reviews with neural language model
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- MApp-IDEA: design and architecture of the analytical data exploration tool from app reviews
- Named Entity Recognition approaches applied to legal document segmentation
- Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution
- Characterization of co-authorship networks of CNPq productivity fellows: an approach based on data science
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