- Docente: Elena Morotti
- Credits: 4
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
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Corso:
Second cycle degree programme (LM) in
International Relations (cod. 9084)
Also valid for Second cycle degree programme (LM) in Politics Administration and Organization (cod. 9085)
Learning outcomes
Workshops are designed to provide students with transversal skills that can prove useful in their future careers. The objective of the workshop is to help students to practice skills through application of information technology, data analysis, decision-making techniques (e.g. simulation) in complex organizations.
Course contents
BIG DATA TECHNIQUES WITH R - part II
This workshop covers the machine learning techniques for classification and clustering, with a special focus on their applications for Text Mining.
Topics will be introduced theoretically but also verified in R-based softwares during the laboratory hours.
More in details, the course contents are:
- Algorithms for classification (kNN, SVM, logistic regression);
- Algorithms for clustering (k-means, mean-shift clustering, hierarchical clustering);
- Techniques for pre-processing on textual data;
- Techniques and algorithms for Text Mining;
- Presentation of case studies and applications of Text Mining.
Readings/Bibliography
James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning (Vol. 112, p. 18). New York: springer.
Slides by the teacher
Teaching methods
Frontal (if possible) lessons
Assessment methods
Evaluation of a final project
Teaching tools
Slides by the teacher
Office hours
See the website of Elena Morotti