TEXT MINING (2 CREDITS)

Learning Outcomes:

On successful completion of this course, students will be able to: LO1 – explain the fundamental text mining theory; LO2 – apply text mining techniques with Python; LO3 – analyze the results of text mining process.

Topics:

1. Text Mining: Introduction;
2. Data Collection;
3. Text Preprocessing;
4. Text Representation;
5. Text Classification;
6. Clustering & Topic Modelling;
7. Text Summarization;
8. Final Project Presentation;
9. Sentiment Analysis on Text Data.