README.md

---
title: Sentiment2D
emoji: 📊
colorFrom: yellow
colorTo: green
sdk: gradio
sdk_version: 3.35.2
app_file: app.py
pinned: false
license: cc-by-4.0
---
# COMPASS Pathways Two-dimensional Sentiment Model

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[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/compasspathways/Sentiment2D/blob/main/.pre-commit-config.yaml)
[![License: CC BY 4.0](https://img.shields.io/badge/License-CC_BY_4.0-lightgrey.svg)](https://creativecommons.org/licenses/by/4.0/)

A package for computing the two-dimensional sentiment scores and a Jupyter notebook for replicating the analysis described in the paper "[Psilocybin Therapy for Treatment Resistant Depression: Prediction of Clinical Outcome by Natural Language Processing](https://psyarxiv.com/kh3cx/)".

</div>



## Citation

Please cite our paper titled "Psilocybin Therapy for Treatment Resistant Depression: Prediction of Clinical Outcome by Natural Language Processing". ([preprint](https://psyarxiv.com/kh3cx/))