Introduction to text mining and analysis
In this self-paced workshop you will learn steps to:
- Build data sets: find where and how to gather textual data for your corpus or data set.
- Prepare data for analysis: explore useful processes and tools to prepare and clean textual data for analysis
- Analyse data: identify different types of analysis used to interrogate content and uncover new insights
Licence: Creative Commons Attribution Share-Alike 4.0
Contact: s.stapleton@griffith.edu.au; y.banens@griffith.edu.au;
Keywords: textual training materials
Additional information
Target audience: MBR student, PhD student, Post-doc / Fellow, Academic, Professional (research-related)
Resource type: Tutorial
Status: Active
Prerequisites:
None.
Learning objectives:
At the end of these lessons you should be able to:
Implement a basic workflow for researching with digital text
Identify different types of textual data and usage considerations
Find textual data for digital analysis
Choose the best tool for your dataset at each stage of the digital research process.
