Bibliografia

1. Ozdemir, S. (2023). Quick Start Guide to Large Language Models: Strategies and Best Practices for Using ChatGPT and Other LLMs. Addison-Wesley Professional. 2. Tunstall, L., von Werra, L., & Wolf, T. (2022). Natural language processing with transformers, revised edition. O’Reilly Media. 3. Dan Jurafsky and James H. Martin (Sep 2021). Speech and Language Processing (3rd ed. draft). https://web.stanford.edu/~jurafsky/slp3/ 4. Vajjala, S., Majumder, B., Surana, H., & Gupta, A. (2020). Practical natural language processing: A pragmatic approach to processing and analyzing language data. O’Reilly Media. 5. Lane, H., Howard, C., & Hapke, H. (2019). Natural Language Processing in Action (First Edition). Pearson Professional.:

Charu C. Aggarwal (2018). Machine Learning for Text. https://doi.org/10.1007/978-3-319-73531- 3. Gabe Ignatow, Rada F. Mihalcea (2017). An Introduction to Text Mining: Research Design, Data Collection, and Analysis 1st Edition (2017). SAGE Publications: