Metadata-Version: 2.1
Name: torch-sentiment
Version: 0.4.3.2
Summary: straight forward rnn model
Author-email: Edward Yang <edwardpyang@gmail.com>
Keywords: rnn,pytorch,tutorial
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Requires-Dist: numpy (>=1.24.0)
Requires-Dist: pandas (>=1.5.2)
Requires-Dist: torch (>=1.13.1)
Requires-Dist: scikit-learn
Requires-Dist: jsonlines
Requires-Dist: gensim
Requires-Dist: structlog
Requires-Dist: psutil
Provides-Extra: dev
Requires-Dist: black ; extra == 'dev'
Requires-Dist: bumpver ; extra == 'dev'
Requires-Dist: isort ; extra == 'dev'
Requires-Dist: pip-tools ; extra == 'dev'
Requires-Dist: pytest ; extra == 'dev'

# Introduction

beta release at https://pypi.org/project/torch-sentiment/, install with:  
```pip install torch-sentiment```

This repo contains Neural Nets written in the pytorch framework for sentiment analysis.  
A LSTM based torch model can be found in the rnn folder. 

## Install dev
```
conda create -n {env}  
conda install pip  
pip install -e .  
```

## Example
To setup environments and run the rnn example see instructions below:  

```
get the yelp dataset from https://www.yelp.com/dataset
run
```

