Opinion mining for app reviews: an analysis of textual representation and predictive models
Author:
Funder
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Fundação de Amparo à Pesquisa do Estado de São Paulo
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
https://link.springer.com/content/pdf/10.1007/s10515-021-00301-1.pdf
Reference56 articles.
1. Aggarwal, C.C.: Machine Learning for Text, 1st edn. Springer Publishing Company, Incorporated, Berlin (2018)
2. Aggarwal, C.C.: Opinion mining and sentiment analysis. In: Machine Learning for Text, pp. 413–434. Springer (2018)
3. Al Kilani, N., Tailakh, R., Hanani, A.: Automatic classification of apps reviews for requirement engineering: Exploring the customers need from healthcare applications. In: 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS), pp. 541–548 (2019)
4. Aralikatte, R., Sridhara, G., Gantayat, N., Mani, S.: Fault in your stars: an analysis of android app reviews. In: Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, pp. 57–66 (2018)
5. Araujo, A., Golo, M., Viana, B., Sanches, F., Romero, R., Marcacini, R.: From bag-of-words to pre-trained neural language models: Improving automatic classification of app reviews for requirements engineering. In: Proceedings of the XVII National Meeting on Artificial and Computational Intelligence, pp. 378–389. SBC (2020)
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