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cat.survey - Survey Response Classification with LLMs

R interface to the Python cat-survey package. Classifies, extracts, and explores open-ended survey responses using LLMs. A thin domain wrapper around cat.stack that adds the survey_question parameter for survey-specific context.

Last updated

6.33 score 8 stars 1 dependents 6 scripts

cat.pol - Political Document Classification with LLMs

R interface to the Python catpol package. Classifies, extracts, explores, and summarizes political and policy documents using LLMs. A thin domain wrapper around cat.stack that adds a registered-source fetcher (city ordinances, federal laws, executive orders, presidential speeches, social media) and policy-document prompt framing.

Last updated

6.33 score 8 stars 1 dependents 3 scripts

cat.vader - Social Media Content Classification with LLMs

R interface to the Python catvader package. Classifies, extracts, and explores social media content using LLMs. A thin domain wrapper around cat.stack that adds social media sourcing parameters (platform, handle, hashtags, credentials).

Last updated

6.33 score 8 stars 1 dependents 3 scripts

cat.cog - Cognitive Assessment Scoring with LLMs

R interface to the Python cat-cog package. Scores CERAD constructional praxis (drawn shape) assessments using LLMs. A thin domain wrapper around cat.stack for cognitive test scoring from images.

Last updated

6.33 score 8 stars 1 dependents 4 scripts

cat.ademic - Academic Paper Classification with LLMs

R interface to the Python catademic package. Classifies, extracts, explores, and summarizes academic papers using LLMs. A thin domain wrapper around cat.stack that adds journal and topic sourcing parameters for academic literature analysis.

Last updated

6.33 score 8 stars 1 dependents 4 scripts

cat.llm - LLM-Powered Text Classification for Social Science

Meta-package that installs and loads the full CatLLM ecosystem for LLM-powered text classification across domains. Installing cat.llm brings in cat.stack (general-purpose engine), cat.survey (survey responses), cat.vader (social media), cat.ademic (academic papers), cat.cog (cognitive assessment), cat.pol (policy documents), and cat.web (web content). Like the tidyverse, you can install the full ecosystem or individual domain packages.

Last updated

6.24 score 8 stars 24 scripts

cat.stack - General-Purpose LLM Text Classification Engine

R interface to the Python cat-stack package. General-purpose text, image, and PDF classification using LLMs with no domain assumptions. The base engine for the CatLLM ecosystem.

Last updated

6.18 score 8 stars 7 dependents 2 scripts

cat.web - Web Content Classification with LLMs

R interface to the Python catweb package. Classifies, extracts, explores, and summarizes web content (URLs or text) using LLMs. A thin domain wrapper around cat.stack that adds automatic URL fetching and web-context prompt injection (source domain, content type, metadata).

Last updated

5.56 score 8 stars 1 dependents 4 scripts