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Emotion Analysis Model
This is an emotion analysis model trained to detect emotions in text. The model can classify text into different emotional categories.
Model Description
- Model Type: Text Classification
- Task: Emotion Analysis
- Framework: PyTorch
- Language: English
Intended Use
This model is designed to analyze and classify emotions in text data. It can be used for:
- Sentiment analysis
- Emotion detection in customer feedback
- Social media emotion analysis
- Text-based emotion recognition
Training Data
The model was trained on emotion-labeled text data.
Performance and Limitations
(To be updated with specific performance metrics)
Usage
from transformers import pipeline
classifier = pipeline("text-classification", model="priyanshu-thapliyal/emotion-analysis")
result = classifier("I am very happy today!")
print(result)
License
(Add your license information here)
Citation
If you use this model, please cite:
@misc{emotion-analysis,
author = {Priyanshu Thapliyal},
title = {Emotion Analysis Model},
year = {2024}
}
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