Metadata-Version: 2.4
Name: noahs_sentiment_classifier
Version: 0.1.2
Summary: A combination of classification implementations for finding if text is 'friendly', 'hostile', or 'neutral'
Author-email: Noah Jones <jonesnoah45010@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/jonesnoah45010/sentiment_classifier
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Requires-Dist: textblob
Requires-Dist: nltk
Requires-Dist: transformers
Requires-Dist: torch
Requires-Dist: accelerate
Requires-Dist: requests
Requires-Dist: numpy





# Noah's Sentiment Classifier

A simple ensemble sentiment classifier using TextBlob, VADER, and Transformers (including Roberta).

## Installation

```bash
pip install noahs_sentiment_classifier
```

## Code Sample

```python
from noahs_sentiment_classifier import classify, classify_textblob, classify_vader, classify_transformers, classify_roberta

value = classify("i hate you")
# value will be either "hostile","friendly","neutral" 
# or None if there is uncertainty

value2 = classify_textblob("i love you")
# value2 will be either "hostile","friendly","neutral" 

```
