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Quantitative Discourse Analysis Package

In this article, the topic of Quantitative Discourse Analysis Package will be addressed from different perspectives and discussions. Quantitative Discourse Analysis Package is a topic that has sparked interest and debate in various areas, generating great expectations among experts and the general public. In the following lines, the implications, repercussions and possible solutions related to Quantitative Discourse Analysis Package will be explored, in order to offer a comprehensive and enlightening vision on this topic. Furthermore, different opinions and approaches will be taken into account to enrich the analysis and provide a multidimensional view of Quantitative Discourse Analysis Package.

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Quantitative Discourse Analysis Package (qdap)
DevelopersBryan Goodrich, Dason Kurkiewicz, Tyler Rinker
Stable release
2.4.2 / September 27, 2020 (2020-09-27)[1]
Operating systemMicrosoft Windows, Linux, Mac OS
TypeQualitative data analysis, Discourse analysis
LicenseGPL2 license
Websitecran.r-project.org/web/packages/qdap/

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

  1. ^ "qdap: Bridging the Gap Between Qualitative Data and Quantitative Analysis". The Comprehensive R Archive Network. Retrieved 27 April 2021.
  2. ^ "KH Coder website". Retrieved 18 February 2017.
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