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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.

Professor

Yannick Toussaint and Armelle Brun

Inria

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

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