Teaching GuideTerm Faculty of Computer Science |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Natural Language Processing and Text Mining |
Learning aims |
Identifying Data | 2022/23 | |||||||||||||
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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Learning outcomes | Study programme competences / results | ||
To know, understand and analyze natural language processing techniques for processing and disambiguation at syntactic and semantic levels. | A28 |
B2 B3 B4 B7 B8 B9 B10 |
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To know how to use the techniques and methods of natural language processing to solve real text mining problems. | A28 |
B2 B3 B4 B7 B8 B9 B10 |
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To know and understand the problems posed by multilingualism in data sources and techniques to solve them. | A28 |
B2 B8 B9 B10 |
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To know and analyze emerging computing paradigms with the potential to improve parallelism in text mining. | A28 |
B2 B4 B7 B8 |
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