Quantitative Discourse Analysis Package
Developer(s) | Bryan Goodrich, Dason Kurkiewicz, Tyler Rinker |
---|---|
Stable release | 2.4.2 / September 27, 2020; 3 years ago (2020-09-27)[1] |
Operating system | Microsoft Windows, Linux, Mac OS |
Type | Qualitative data analysis, Discourse analysis |
License | GPL2 license |
Website | cran |
Quantitative Discourse Analysis Package (qdap) is an R package for computer assisted qualitative data analysis, particularly quantitative discourse analysis, transcript analysis and natural language processing. Qdap is installable from, and runs within, the R system.
Qdap is a tool for quantitative analysis of qualitative transcripts and therefore provides a bridge between quantitative and qualitative research approaches. It is designed for transcript analysis, but its features overlap with natural language processing and text mining.
Its features include:
- tools for the preparation of transcript data
- frequency counts of sentence types, words, sentences, turns of talk, syllables
- aggregation using grouping variables
- word extracting and visualization
- statistical analysis.
For higher level statistical analysis and visualization of text, qdap is integrated with R and offers integration with other R packages.
Alternatives
- KH Coder (Windows, Linux, macOS) for quantitative content analysis and text mining.[2]
See also
References
External links
- Official website
- qdap manual
- qdap developer website
- Text Mining First-step Report
- v
- t
- e
R (programming language)
- Sweave
![](http://upload.wikimedia.org/wikipedia/commons/thumb/1/1b/R_logo.svg/80px-R_logo.svg.png)
- Distributed R
- Microsoft R Open (Revolution R Open)
- Renjin
- Roger Bivand
- Jenny Bryan
- John Chambers
- Peter Dalgaard
- Dirk Eddelbuettel
- Robert Gentleman
- Ross Ihaka
- Thomas Lumley
- Brian D. Ripley
- Julia Silge
- Luke Tierney
- Hadley Wickham
- Yihui Xie
- R Consortium
- Revolution Analytics
- R-Ladies
- Posit PBC (formerly RStudio PBC)