Machine Learning for Textual Data

Université Lumière Lyon 2

Overview

This course provides an introduction to machine learning techniques and algorithms for processing and analyzing textual data. Students will learn how to preprocess text, extract features, and apply various machine learning models to solve real-world NLP problems.

Learning objectives

• Understand fundamental concepts in natural language processing
• Apply machine learning algorithms to text classification and information extraction
• Implement and evaluate practical NLP solutions

Topics

• Text preprocessing and tokenization
• Feature extraction (TF-IDF, word embeddings)
• Text classification and sentiment analysis
• Information extraction and sequence labeling
• Deep learning approaches for NLP

Contact

Questions about the course: pegah.alizadeh@univ-lyon2.fr