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Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Natural Language Processing and Text Mining |
| Recommendations |
| Identifying Data | 2023/24 | |||||||||||||
| 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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| Subjects that it is recommended to have taken before | ||||
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| Subjects that are recommended to be taken simultaneously |
| Subjects that continue the syllabus |
| Other comments | |
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As established in the relevant regulations, this subject incorporates gender perspective. Participation of male and female students will be encouraged. We will work to identify sexist prejudices and actitudes and will influence the surroundings to modify them and promote values of respect and equality. Any situations of gender discrimination should be detected, and actions and measures proposed to correct them. |
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