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Omar Andres Ormachea Hermoza
Transfer Learning in NLP for classification of chat messages.
Rel. Elena Maria Baralis, Lorenzo Vaiani. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023
Abstract: |
As businesses continue to expand their digital presence, customer support interactions are increasingly taking place through chat-like interfaces. This choice has created a demand for more sophisticated NLP technologies that can help optimize the support process. This thesis presents the work done during an internship, focused on the development of a classification algorithm for chat messages with the goal of optimizing the customer service process of Remedee Labs, a biotechnology and digital health startup. The proposed algorithm utilizes a pre-trained state-of-the-art french language model to leverage text embeddings, enabling effective classification through traditional machine learning methods in a transfer learning fashion. In addition, an innovative approach is presented. It aims to enhance classification by integrating external information to the standard methods. |
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Relatori: | Elena Maria Baralis, Lorenzo Vaiani |
Anno accademico: | 2023/24 |
Tipo di pubblicazione: | Elettronica |
Numero di pagine: | 75 |
Informazioni aggiuntive: | Tesi secretata. Fulltext non presente |
Soggetti: | |
Corso di laurea: | Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering) |
Classe di laurea: | Nuovo ordinamento > Laurea magistrale > LM-32 - INGEGNERIA INFORMATICA |
Ente in cotutela: | Institut National des Sciences Appliquees de Lyon - INSA (FRANCIA) |
Aziende collaboratrici: | SA REMEDEE LABS |
URI: | http://webthesis.biblio.polito.it/id/eprint/29508 |
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