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A community syllabus for quantitative text analysis

About

This is intended to be a public collection of articles and research related to quantitative text analysis. Please feel free to issue pull requests if you want to contribute.

Contribute

If you want to add an article follow these steps:

  1. Search in syllabus.md if the citation already exists.
  2. Fork the repository.
  3. Add the citation in bibtex format to bibliography.bib. If you want your entry to show up under a certain category, add the following field to your bibtex entry: category={YOUR CATEGORY}. The category you put in does not have to match the existing ones. Feel free to create new ones. If you have a link to the resource add the field link={YOUR WEBLINK} to your entry. Please add only links that contain free (and legal) access to the resource.
  4. (Optional) run parse_bib.py to generate the updated syllabus.md. If you don't do this step your entry will only show up in syllabus.md after I (or someone else) updated it.
  5. Issue a pull request.

Thank you!

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An open community syllabus for quantitative text analysis

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  • TeX 78.2%
  • Python 21.8%