The ASA Section on Text Analysis (STA) is building a curated Resource Page to serve as a hub for statisticians interested in text analysis. We're calling on our community to help us crowdsource high-quality links and references that can benefit researchers, educators, students, and practitioners across a variety of domains.
This will be a living repository of academic papers, tools, tutorials, datasets, educational resources, and community links-all aimed at promoting responsible, effective, and innovative use of text data in statistical research and practice.
We invite you to contribute to this effort by suggesting resources in any of the following categories:
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Academic Papers – foundational, introductory, or advanced papers in text analysis
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Tools – packages, platforms, or software for text mining or NLP (e.g., tidytext, spaCy, LLaMA)
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Open Education – MOOCs, online textbooks, blog tutorials, or other free resources
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Datasets – curated text datasets, categorized by source or domain
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Tutorials & Workshops – links to online tutorials, notebooks, or recorded trainings
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Community Forums & Groups – active forums or networks focused on text analysis
To contribute, please submit via our Google form: 👉 https://forms.gle/5ibxAN1WChkcbbMV9
Once we've gathered and reviewed the contributions, we will finalize and post the Resource Page on our official ASA STA website. If you encounter any difficulties or have questions about submitting, feel free to contact Carol Haney (carolh@qualtrics.com) for assistance.
Let's build this together! Whether you're a seasoned researcher, a student, or just passionate about working with text data, your suggestions will help shape a go-to hub for the ASA community.
Warm regards,
Tommy Jones on behalf of The ASA Section on Text Analysis
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Tommy Jones
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