Learning how to deal with textual data coming from different sources (formal and informal) by understanding how to process them, which are the best representation techniques and which are the most popular tasks where they are needed.
Natural Language Processing
Learning Goals
Program in pills
Document Representation, Language Models, Document Latent Representation, Text Classification problems, Neural Network for NLP, advanced topics.
Area
Machine Learning and Artificial Intelligence
Curriculum Foundations
TAF Type
Curriculum Industry
TAF Type
Curriculum Health
TAF Type
Curriculum Economy
TAF Type
SSD
ECTS
Semester
Lecturers
Matilde Trevisani
Alberto Cazzaniga