Text Mining and Basic Qualitative Analysis with R
Covers cleaning and analyzing open-ended responses and text content with R to reveal recurring themes and preliminary qualitative findings.
Training content
- Text cleaning
- Tokenization
- Stopword approaches
- Frequency and n-gram analysis
- Keyword extraction
- Producing preliminary qualitative findings and report format
At the end of this training, participants
- Will be able to convert open-ended responses and text content into an analyzable format.
- Will be able to identify recurring topics and concentrated expressions using basic text mining techniques.
- Will be able to support quantitative reporting with qualitative findings by learning the first steps of producing measurable indicators from qualitative data.
- Will be able to produce a theme pre-discovery report that can be used within the organization.
- Will be able to apply cleaning and standardization rules that reduce the risk of erroneous inferences in text data.
In this way, systematic insight generation from text-based data will become possible.