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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Text Mining |
| Learning aims |
| Identifying Data | 2023/24 | |||||||||||||
| Subject | Text Mining | Code | 614544011 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
Second | Optional | 3 | ||||||||||
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| Learning outcomes | Study programme competences | ||
| Knowing, understanding and analysing the current techniques for web search and mining | AC1 AC2 AC3 |
BC1 BC3 BC4 BC6 BC7 BC10 |
CC2 CC3 CC7 CC8 |
| Designing, implementing and knowing algorithms and structures for recommender systems | AC1 AC2 |
BC1 BC3 BC4 BC6 BC7 BC10 |
CC2 CC3 CC7 CC8 |
| Knowing how to apply different models of information retrieval and extraction, sentiment analysis and other possible applications of text mining | AC1 AC2 AC3 |
BC1 BC3 BC4 BC6 BC7 BC10 |
CC2 CC3 CC7 CC8 |
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