Text and audio mining

Text and audio mining are powerful workflows aimed at uncovering meaningful patterns and relationships with the aid of computers. They find applications in diverse domains, for example identifying trends in social media or exploring narratives in literature and oral history.

This tutorial offers a comprehensive introduction to practical methods for analyzing both text and audio using natural language processing techniques. We will guide you through essential tools, resources, and workflows encompassing information extraction, content classification, and the process of converting spoken language into textual data.

The tutorial uses the cloud-based Google Colaboratory which lets you write and execute code, save and share your analyses, and access powerful computing resources, all from within a browser. You will need a Google account.

For info and applications, contact  johan.fridhumlab.luse

Go the Current pedagogical activities to check if this tutorial is given the current semester.

Page Manager: Maja.Peterssonhumlab.luse | 2023-08-28