quanteda is developed to achieve following core objectives in quantitative text analysis.
- Simplicity and flexibility
- Create flexible tools for different analytic purposes
- Provide consistent and intuitive commands for R users
- Best practice
- Facilitate transparent and reproducible workflows
- High efficiency
- Exploit multi-core CPU’s to process large datasets
- Store large datasets in small RAMs of laptop computers
- Allow quanteda to be used in conjunction with other R packages
Contributions in the form of feedback, comments, code, and bug reports are most welcome. How to contribute:
- Fork the source code, modify, and issue a pull request through the project GitHub page. See our Contributor Code of Conduct and the all-important quanteda Style Guide.
- File bug reports and wish lists in quanteda issues.
- Submit a question on the quanteda channel on StackOverflow.
quanteda project is supported by the European Research Council grant ERC-2011-StG 283794-QUANTESS.
quanteda’s citation information is available on the documentation page.