tidytext

R package tidytext: Text Mining using ’dplyr’, ’ggplot2’, and Other Tidy Tools. Text mining for word processing and sentiment analysis using ’dplyr’, ’ggplot2’, and other tidy tools.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 9 articles , 1 standard article )

Showing results 1 to 9 of 9.
Sorted by year (citations)

  1. Dustin Stoltz, Marshall Taylor: text2map: R Tools for Text Matrices (2022) not zbMATH
  2. David Ardia, Keven Bluteau, Samuel Borms, Kris Boudt: The R package sentometrics to compute, aggregate and predict with textual sentiment (2021) arXiv
  3. Kandanaarachchi, Sevvandi; Hyndman, Rob J.: Dimension reduction for outlier detection using DOBIN (2021)
  4. 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
  5. Liao, Xiyue; Chen, Guoqiang; Ku, Ben; Narula, Rahul; Duncan, Janet: Text mining methods applied to insurance company customer calls: a case study (2020)
  6. Michelangelo Misuraca, Alessia Forciniti, Germana Scepi, Maria Spano: Sentiment Analysis for Education with R: packages, methods and practical applications (2020) arXiv
  7. Modesto Escobar, Luis Martinez-Uribe: Network Coincidence Analysis: The netCoin R Package (2020) not zbMATH
  8. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  9. Julia Silge; David Robinson: tidytext: Text Mining and Analysis Using Tidy Data Principles in R (2016) not zbMATH