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twitteR

R package twitteR: R based Twitter client. Provides an interface to the Twitter web API

Keywords for this software

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

  • Journal of Statistical Software
  • singular value decomposition
  • classification
  • R package
  • data science
  • EVD
  • mega event
  • sentiment analysis
  • statistical analysis
  • data mining
  • PCA
  • Incremental Decomposition Methods
  • clustering
  • visualization
  • data bases
  • dimensionality reduction
  • JSS
  • correspondence analysis
  • SVD
  • data streams
  • R
  • Expo
  • incremental methods
  • Data Stream Clustering Research
  • Twitter
  • MCA
  • web reputation
  • www.jstatsoft.org

  • URL: cran.r-project.org/web...
  • Code
  • InternetArchive
  • Manual: cran.r-project.org/web...
  • Authors: Jeff Gentry
  • Dependencies: R

  • Add information on this software.


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References in zbMATH (referenced in 7 articles )

Showing results 1 to 7 of 7.
y Sorted by year (citations)

  1. Calissano, Anna; Vantini, Simone; Arena, Marika: Monitoring rare categories in sentiment and opinion analysis: a Milan mega event on Twitter platform (2020)
  2. Alfonso Iodice D’Enza, Angelos Markos, Davide Buttarazzi: The idm Package: Incremental Decomposition Methods in R (2018) not zbMATH
  3. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  4. Michael Hahsler and Matthew Bolaños and John Forrest: Introduction to stream: An Extensible Framework for Data Stream Clustering Research with R (2017) not zbMATH
  5. D’Enza, Alfonso Iodice; Markos, Angelos: Low-dimensional tracking of association structures in categorical data (2015)
  6. Gandrud, Christopher: Reproducible research with R and RStudio (2014)
  7. Zhao, Yanchang: R and data mining. Examples and case studies (2013)

  • Article statistics & filter:

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  • MSC classification / top
    • Top MSC classes
      • 62 Statistics
      • 68 Computer science

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