quanteda: An R package for the quantitative analysis of textual data

quanteda: An R package for the quantitative analysis of textual data

06 October 2018 | Kenneth Benoit, Kohei Watanabe, Haiyan Wang, Paul Nulty, Adam Obeng, Stefan Müller, and Akitaka Matsuo
**quanteda** is an R package designed for the quantitative analysis of textual data, offering a comprehensive workflow and toolkit for natural language processing tasks. It supports corpus management, tokenization, analysis, and visualization, with extensive functions for dictionary analysis, keyword-in-context exploration, document and feature similarity computation, and multi-word expression discovery through collocation scoring. The package is highly efficient, leveraging sparse operations and C++ with multi-threading for fast processing of large textual data. It is particularly useful for researchers, students, and analysts with limited financial resources, as it matches or exceeds the capabilities of many expensive, non-open-source software applications. **quanteda** emphasizes consistency, accessibility, performance, transparency, and reproducibility, and is compatible with other R packages for advanced text analysis. The package is supported by the Quanteda Initiative, a non-profit organization founded in 2018 to maintain and support the open-source text analysis software ecosystem.**quanteda** is an R package designed for the quantitative analysis of textual data, offering a comprehensive workflow and toolkit for natural language processing tasks. It supports corpus management, tokenization, analysis, and visualization, with extensive functions for dictionary analysis, keyword-in-context exploration, document and feature similarity computation, and multi-word expression discovery through collocation scoring. The package is highly efficient, leveraging sparse operations and C++ with multi-threading for fast processing of large textual data. It is particularly useful for researchers, students, and analysts with limited financial resources, as it matches or exceeds the capabilities of many expensive, non-open-source software applications. **quanteda** emphasizes consistency, accessibility, performance, transparency, and reproducibility, and is compatible with other R packages for advanced text analysis. The package is supported by the Quanteda Initiative, a non-profit organization founded in 2018 to maintain and support the open-source text analysis software ecosystem.
Reach us at info@study.space
Understanding quanteda%3A An R package for the quantitative analysis of textual data