cat-survey 0.2.1

Survey response classification powered by LLMs

cat-survey

Survey response classification powered by LLMs. A thin, survey-specific wrapper around cat-stack.

cat-survey adds survey-specific prompt framing ("A respondent was asked: ...") on top of the domain-agnostic cat-stack engine — giving LLMs the context that responses come from a survey instrument.

Installation

pip install cat-survey

With optional extras:

pip install "cat-survey[pdf]"         # PDF survey processing
pip install "cat-survey[embeddings]"  # Embedding-based similarity scoring

Quick Start

Classify survey responses

import catsurvey

results = catsurvey.classify(
    input_data=["I feel great about the program", "It was a waste of time"],
    categories=["Positive", "Negative", "Neutral"],
    survey_question="How do you feel about the new wellness program?",
    api_key="sk-...",
)

Discover categories from open-ended responses

result = catsurvey.extract(
    input_data=responses,
    api_key="sk-...",
    survey_question="What changes would you suggest for the workplace?",
)
print(result["top_categories"])

Summarize responses

summaries = catsurvey.summarize(
    input_data=responses,
    api_key="sk-...",
    description="Open-ended feedback from employee satisfaction survey",
)

How It Works

cat-survey is a thin wrapper that:

1. Takes your survey_question parameter
2. Injects survey-specific framing: "A respondent was asked: '{survey_question}'."
3. Delegates to cat-stack for all LLM communication, classification logic, batch processing, and ensemble methods

All cat-stack parameters (multi-model ensemble, batch mode, chain-of-thought, etc.) are passed through via **kwargs.

API

Function	Description
classify()	Classify responses into predefined categories
extract()	Discover and normalize categories from responses
explore()	Raw category extraction (no deduplication)
summarize()	Summarize responses (pass-through to cat-stack)

Ecosystem

Package	Role
cat-stack	Domain-agnostic LLM classification engine
cat-survey	Survey-specific wrapper (this package)
cat-cog	Cognitive assessment scoring (CERAD)

License

GPL-3.0-or-later