Back to teaching
Text Mining
This course is part of the "Business Intelligence" course. Here, you will learn about text mining and how to use it to extract insights from text data.
Intermediate Level
7 weeks
Undergraduate Course
Course Overview
This comprehensive course provides an overview of text mining and how to use it to extract insights from text data, from the basics like TF-IDF, word2vec, and sentence transformers to more advanced techniques like topic modeling, sentiment analysis, and text classification.
The course mixes theoretical knowledge with practical applications, ensuring students understand both the theory behind these techniques and how to apply them to real-world problems.
Learning Objectives
- •Understand the basics of text mining and how to use it to extract insights from text data
- •Apply text mining techniques to extract insights from text data
- •Use pre-trained models
- •Evaluate and compare different text mining techniques
Topics Covered
- • Introduction
- • Data collection and preprocessing
- • From words to vectors
- • Recurrent Neural Networks
- • Attention Mechanism
- • Transformers
- • Large Language Models
- • Project
Tools & Technologies
🐍
Python
📊
Power BI
🔥
Pytorch
🤗
Hugging Face
Course Information
Duration: 7 weeks
Credits: 6 ECTS
Language: Spanish
Prerequisites: Data Visualization, Databases, Statistics