Emotionics Library
Emotionics is a lightweight experimental library for exploring how emotional signals can be abstracted from text using LLMs and a structured emotional framework.
pip install emotionics
Emotionics does NOT:
- diagnose mental states
- judge individuals
- predict behavior
- manipulate emotions
It estimates emotional signals in text, nothing more.
Reasons
I built emotionics because purely statistical or purely linguistic approaches felt insufficient to describe how humans actually react, decide, and communicate.
LLM × Emotionics = emotionics library
Emotionics does not replace LLMs.
It works with LLMs by providing a structured lens to interpret emotional patterns already present in text.
What the emotionics library can do
• extract emotion-related signals
• map them to a structured schema
• experiment with temporal or contextual tendencies
Expected Users
This library is intended for:
• researchers
• developers interested in human-centered AI
• people who want to experiment responsibly with emotion-related abstractions
Ethical Notes
Emotionics is developed with the assumption that emotional analysis requires restraint, context, and responsibility.
If you are looking for tools to influence or control others, this library is not for you.
Links
PyPI:
https://pypi.org/project/emotionics/
GitHub:
https://github.com/Kouhei-Takagi/emotionics/