Quanteda article published in the Journal of Open Source Software

The Quanteda team has published a paper in the Journal of Open Source Software. The journal publishes peer-reviewed articles on research software packages, aiming to improve the quality of the software submitted.

The paper summarizes the design and functions of Quanteda, focusing on corpus management, natural langauge processing, text scaling and text statistics, and visualization.

If you use the Quanteda package in your own work, please cite this paper in the future.

Benoit, Kenneth, Kohei Watanabe, Haiyan Wang, Paul Nulty, Adam Obeng, Stefan Müller, and Akitaka Matsuo. (2018) “quanteda: An R package for the quantitative analysis of textual data”. Journal of Open Source Software. 3(30), 774.