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Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Natural Language Processing and Text Mining |
| Methodologies |
| 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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| Methodologies | Description |
| Guest lecture / keynote speech | Theoretical classes, in which the content of each topic is exposed. The student will have copies of the slides in advance and the teacher will promote an active attitude, asking questions that allow clarifying specific aspects and leaving questions open for the student's reflection. |
| Laboratory practice | Practical classes with the use of a computer, which allow the student to familiarize himself/herself from a practical point of view with the issues exposed in the theoretical classes. |
| Problem solving | Problem-based learning, seminars, case studies and projects. |
| Objective test | Mastery of theoretical and operational knowledge of the subject will be assessed. |
| Supervised projects | Work in which students will consult sources of information to become familiar with research aspects of the field |
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