First semester
Webmining & Language Processing
- Enseignant(s)
- Christian RAYMOND, Cyrielle MALLART, Guillaume GRAVIER, Loïc FOSSE, Morgane CASANOVA, Yasmine HACHANI
- Course type
- STATISTICS
- Correspondant
- Sébastien DA VEIGA
- Unit
-
Module1-01 Machine Learning
- Number of ECTS
- 2
- Course code
- SDDP-MSP/ES - 03
- Distribution of courses
Objectifs
– 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
Plan
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
Prérequis
Programming with Python, Statistical learning