The laboratory aims to offer a guide for the analysis and interpretation of textual data (such as interviews, answers to open-ended questions, social media posts) with the support of the Iramuteq software, with practical applications and examples.
Lab Outline:
Introduction to Automatic Textual Data Analysis:
- Understanding textual data and how they can quantitatively analysed.
- Installation guide for the Iramuteq R interface on your computer.
First Steps in Automatic Text Analysis: Preparing the Corpus and Exploring Data with Iramuteq:
- Hands-on experience in preparing a corpus for analysis based on your research purposes.
- Exploring data using Iramuteq to gain valuable insights.
Advanced Text Analysis with Iramuteq:
- Topic detection and exploration using Iramuteq.
- Mapping content in relation to variables (i.e., text attributes).
- Docente: Valentina Rizzoli