Generating Bug Reports Using Topic-Modelling and Sentimental Analysis
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-58604-0_16
Reference32 articles.
1. Khalid, H., Shihab, E., Nagappan, M., Hassan, A.E.: What do mobile app users complain about?. IEEE Software 32(3), 70–77 (2015). https://doi.org/10.1109/MS.2014.50
2. Grootendorst, M.: . BERTopic: Neural topic modeling with a class-based TF-IDF procedure. ArXiv (Cornell University) (2022). https://doi.org/10.48550/arxiv.2203.05794
3. Hutto, C.J. Gilbert, E.E.: VADER: a parsimonious rule-based model for sentiment analysis of social media text. In: Eighth International Conference on Weblogs and Social Media (ICWSM 2014), Ann Arbor, MI (June 2014)
4. Blei, D.M., Ng, A.Y., Jordan, M.J.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)
5. Negara, E. S., Triadi, D., Andryani, R.: Topic modelling twitter data with latent dirichlet allocation method. In: 2019 International Conference on Electrical Engineering and Computer Science (ICECOS), pp. 386–390. IEEE (October 2019)
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