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English Information

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Authors
# Name
1 Cleane Santos(cleanesouzasantos51@gmail.com)
2 Arlino Magalhaes(arlino@ufpi.edu.br)

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Reference
# Reference
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2 Davies, D. L. and Bouldin, D. W. (1979). A cluster separation measure. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1(2):224–227.
3 de Groot, M., Aliannejadi, M., and Haas, M. R. (2022). Experiments on generalizability of BERTopic on multi-domain short text. arXiv preprint arXiv:2212.08459.
4 Feng, Z., Guo, D., Tang, D., Duan, N., Feng, X., Gong, M., Shou, L., Qin, B., Liu, T., Jiang, D., and Zhou, M. (2020). CodeBERT: A pre-trained model for programming and natural languages. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 1536–1547. ACL.
5 Grootendorst, M. (2022). BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv preprint arXiv:2203.05794.
6 Hassan, A. E. (2008). The road ahead for mining software repositories. In Frontiers of Software Maintenance, 2008. FoSM 2008, pages 48–57. IEEE.
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8 Hu, S., Zhang, Z., Luo, B., Lu, S., He, B., and Liu, L. (2023). BERT4ETH: A pre-trained transformer for Ethereum fraud detection. In Proceedings of the ACM Web Conference 2023 (WWW '23), pages 2189–2197. ACM.
9 Hutto, C. and Gilbert, E. (2014). VADER: A parsimonious rule-based model for sentiment analysis of social media text. In Proceedings of the 8th International Conference on Weblogs and Social Media (ICWSM), pages 216–225.
10 Li, Z., Li, X., Li, W., and Wang, X. (2025). SCALM: Detecting bad practices in smart contracts through LLMs. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 39, pages 470–477.
11 Vaccargiu, M., Aufiero, S., Bartolucci, S., Neykova, R., Tonelli, R., and Destefanis, G. (2024). Sustainability in blockchain development: A BERT-based analysis of Ethereum developer discussions. In Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering (EASE '24), pages 381–386, Salerno, Italy. ACM.
12 Reimers, N. and Gurevych, I. (2019). Sentence-BERT: Sentence embeddings using Siamese BERT-networks. In EMNLP-IJCNLP.