README.md

---
license: apache-2.0
language:
- en
library_name: sklearn
tags:
- emotions
pipeline_tag: text-classification

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---
# Emotion-1.0

## Model Details

### Model Description

This advanced AI model accurately detects emotions in text using state-of-the-art natural language processing techniques. It can identify a wide range of emotions, providing valuable insights for businesses and individuals alike. With its machine learning algorithms, it continually refines its understanding of human emotions, offering reliable results at scale.


- **Developed by:** SentrifyAI
- **Funded by:** Sentrify
- **Model type:** Text Classification
- **Language(s) (NLP):** English
- **License:** Apache-2.0

## Uses

Some uses for this model are:

- Social Media
- Moderation
## How to Get Started with the Model

Use the code below to get started with the model.

```python
from sentrifyai import api
import json

emotions = api.Emotions()

results = emotions.emotion(model_slug='Emotions-1.0', message='This is a sample message.')

json_results = json.dumps(results, indent=4)

print(json_results)
```

Note: Make sure to install the `sentrifyai` PyPi package.

```
pip install sentrifyai
```

## Model Card Authors

The Sentrify Team