This course introduces students to Text mining. Text mining is a recent filed of research whose development is strictly linked to the increasing volume of online text data and the development of statistical methodologies and algorithms for information retrieval and automatic classification.
Text analytics will be performed through the statistical language R.

LEARNING OUTCOMES
1. Understand the nature of textual data and the statistical techniques exploited for Text mining.
2. Analyze various sources of text data
3. Explain the text analytics framework.
Making judgements
- To learn the logical and statistical concepts that are indispensable for working independently in the research, selection and processing of data relevant in the Text mining context.
Communication skills
- Learn the terminology and statistical techniques to communicate or correctly discuss the results of the analysis of company data relevant in the Text mining context.