First semester
Natural language processing and webmining
- Teacher(s)
- Christian RAYMOND, Guillaume GRAVIER, Laurent AMSALEG, Loïc FOSSE
- Course type
- STATISTICS
- Correspondant
- Sébastien DA VEIGA
- Unit
-
Module 01 - Machine Learning
- Number of ECTS
- 1.5
- Course code
- SDDP-STD-03
- Distribution of courses
Objectives
– Collect data, extract information and match text sources
– Choose an automatic language processing method for a classical task (classification, sentiment analysis, entity detection)
– Find your way through the plethora of language study models
Course outline
1. What’s natural language and its processing
2. The representation of words
3. The representation and classification of documents
4. Language modeling and contextual word embedding
5. Sentence-level tagging (token level tasks)
6. Sequence to sequence models and transformers
7. Overview of standard NLP tasks today
Prerequisites
Programming with Python, Statistical learning