Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution (2024)
- Authors:
- Autor USP: MARCACINI, RICARDO MARCONDES - ICMC
- Unidade: ICMC
- DOI: 10.1145/3701625.3701700
- Subjects: MINERAÇÃO DE DADOS; RECONHECIMENTO DE TEXTO; APRENDIZADO COMPUTACIONAL; ENGENHARIA DE SOFTWARE; APLICATIVOS MÓVEIS
- Keywords: opinion mining; app reviews; issue detection; issue prioritization
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: Brazilian Symposium on Software Quality - SBQS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
LIMA, Vitor Mesaque Alves de e MARCACINI, Ricardo Marcondes. Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution. 2024, Anais.. New York: ACM, 2024. Disponível em: https://doi.org/10.1145/3701625.3701700. Acesso em: 05 ago. 2025. -
APA
Lima, V. M. A. de, & Marcacini, R. M. (2024). Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution. In Proceedings. New York: ACM. doi:10.1145/3701625.3701700 -
NLM
Lima VMA de, Marcacini RM. Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution [Internet]. Proceedings. 2024 ;[citado 2025 ago. 05 ] Available from: https://doi.org/10.1145/3701625.3701700 -
Vancouver
Lima VMA de, Marcacini RM. Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution [Internet]. Proceedings. 2024 ;[citado 2025 ago. 05 ] Available from: https://doi.org/10.1145/3701625.3701700 - Issue detection and prioritization based on mobile application reviews
- Complaint analysis in fintech domain: a case study in brazilian brokerage firms
- Combining prompt-based language models and weak supervision for labeling named entity recognition on legal documents
- Named Entity Recognition approaches applied to legal document segmentation
- Aprendizado de máquina com informação privilegiada: abordagens para agrupamento hierárquico de textos
- Monitoring temporal dynamics of issues in crowdsourced user reviews and their impact on mobile App updates
- MApp-IDEA: monitoring app for issue detection and prioritization
- Embedding propagation over heterogeneous information networks
- Complaint analysis in digital banks: topic modeling based on large language model
- Legal document segmentation and labeling through named entity recognition approaches
Informações sobre o DOI: 10.1145/3701625.3701700 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3234630.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
