This page collects resources I often use or recommend for quantitative text analysis, computational social science, and political science research workflow.

Quantitative Text Analysis in R

• quanteda documentation
• quanteda tutorials
• seededlda
• tidytext
• Structural Topic Model (stm)
• Regular Expression Cheat Sheet

Modeling, Reporting, and Reproducible Workflow

• fixest
• modelsummary
• Quarto
• Zotero
• Overleaf
• LaTeX Cheat Sheet

Political Science Data and Corpora

• peacesciencer
• Varieties of Democracy (V-Dem)
• United Nations General Debate Corpus
• Our World in Data

Survey Experiments and Public Opinion

• DeclareDesign
• Qualtrics
• Asian Barometer Survey

Web Scraping and Data Collection

• Scrapy Documentation
• rvest

AI-Assisted Research With Verification

• ChatGPT / Claude — useful for brainstorming research questions, refining outlines, debugging code, and revising prose
• Perplexity — useful for rapid literature orientation, keyword expansion, and locating relevant sources
• Elicit — useful for evidence-oriented paper discovery and comparing related studies
• NotebookLM — useful for working across your own PDFs, notes, and reading materials

These tools can be helpful for idea generation, coding assistance, and literature discovery, but citations, factual claims, and bibliographic details should always be independently verified.