Master TAL - MSc. NLP
Course Unit
Complex data mining for text
UE
901
EC
EC2
Hours
27h
Course Description
This course provides knowledge discovery tools to process complex and textual data. We introduce methods for data mining (sequences, graphs) and textual classification and mining (pattern structures, analysis of relational concepts, exploratory data mining, skylines). We also discuss techniques of information retrieval that involve the use of unsupervised learning methods for classification (like k-means) as well as latent semantic analysis in texts (LSA).
Learning Outcome
- Information retrieval through classification methods
- Application of LSA for text mining
Prerequisites
-
UE 801
Targeted Skills
- Analyse a problem before computationally treating spoken or written data
- Know how to apply algorithmic techniques, linguistic analysis, statistics, and knowledge processing.
More Informations
Bibliography
- To be completed
Course URL – Arche
- To be completed
Link with other courses
- to be completed
Evaluation procedures
Number of Tests
- to be completed
Nature of the tests
- to be completed
Group work
- to be completed
Combine with other specialization
- MSc Cognitive Science