qdap
R package qdap: Bridging the Gap Between Qualitative Data and Quantitative Analysis. Automates many of the tasks associated with quantitative discourse analysis of transcripts containing discourse including frequency counts of sentence types, words, sentences, turns of talk, syllables and other assorted analysis tasks. The package provides parsing tools for preparing transcript data. Many functions enable the user to aggregate data by any number of grouping variables, providing analysis and seamless integration with other R packages that undertake higher level analysis and visualization of text. This affords the user a more efficient and targeted analysis. ’qdap’ is designed for transcript analysis, however, many functions are applicable to other areas of Text Mining/ Natural Language Processing.
Keywords for this software
References in zbMATH (referenced in 5 articles )
Showing results 1 to 5 of 5.
Sorted by year (- David Ardia, Keven Bluteau, Samuel Borms, Kris Boudt: The R package sentometrics to compute, aggregate and predict with textual sentiment (2021) arXiv
- Rémi Rampin; Vicky Rampin: Taguette: open-source qualitative data analysis (2021) not zbMATH
- Samuel Borms, David Ardia, Keven Bluteau, Kris Boudt, Jeroen Van Pelt, Andres Algaba: The R Package sentometrics to Compute, Aggregate, and Predict with Textual Sentiment (2021) not zbMATH
- Liao, Xiyue; Chen, Guoqiang; Ku, Ben; Narula, Rahul; Duncan, Janet: Text mining methods applied to insurance company customer calls: a case study (2020)
- Michelangelo Misuraca, Alessia Forciniti, Germana Scepi, Maria Spano: Sentiment Analysis for Education with R: packages, methods and practical applications (2020) arXiv