Teaching GuideTerm Faculty of Computer Science |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Natural Language Processing and Text Mining |
Sources of information |
Identifying Data | 2024/25 | |||||||||||||
Subject | Natural Language Processing and Text Mining | Code | 614G02043 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 2nd four-month period |
Fourth | Optional | 6 | ||||||||||
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Basic |
Manning, Chris., & Schutze, Hinrich (1999). Foundations of statistical natural language processing. MIT Press Jacob Eisenstein (2019). Introduction to Natural Language Processing. MIT Press Jurafsky, Dan. & Martin, J. H. (2022). Speech and Language Processing (3rd ed. draft). Disponible en: https://web.stanford.edu/~jurafsky/slp3/ Kochmar, Ekaterina (2022). Getting Started with Natural Language Processing. Oreilly Bengfort, Benjamin & Bilbro, Rebeca & Tony Ojeda (2018). Applied Text Analysis with Python. Oreilly |
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Complementary |
Chollet, François. (2018). Keras: The python deep learning library. Astrophysics Source Code Library Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze (2008). Introduction to Information Retrieval. Cambridge University Press, Cambridge Kübler, Sandra., McDonald, Ronald., & Nivre, Joakim (2009). Dependency Parsing. Synthesis lectures on human language technologies. Morgan Claypool Goldberg, Yoav (2017). Neural network methods for natural language processing. Synthesis lectures on human language technologies. Morgan Claypool |
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