Humor and offense speech classification and scoring using natural language processing
Identifying humor and offense may prove to be an arduous task even for humans. It is, however, even more challenging to translate it into a logical process that a machine can understand. This work pretends to develop machine learning models which will be implemented to achieve this task. On this tra...
| Autor principal: | |
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| Formato: | masterThesis |
| Idioma: | eng |
| Publicado em: |
2022
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10071/26655 |
| País: | Portugal |
| Oai: | oai:repositorio.iscte-iul.pt:10071/26655 |