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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 | ||
| 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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