# eco-pulse-sentiment-analyzer

## Overview
EcoPulse is a fine-tuned BERT model designed to analyze sentiment in environmental and climate change discourse. It categorizes text into Positive, Neutral, or Negative sentiments specifically regarding ecological health and policy updates.

## Model Architecture
- **Base Model:** BERT-base-uncased
- **Task:** Multi-class Sequence Classification
- **Parameters:** 110M

## Intended Use
- Analyzing public reaction to climate policy.
- Monitoring environmental news trends.
- Research in digital humanities regarding ecological sentiment.

## Limitations
- Performance may degrade on highly technical scientific abstracts.
- Sarcasm in climate activism tweets may be misclassified.

## Example Code
```python
from transformers import pipeline

classifier = pipeline("sentiment-analysis", model="eco-pulse-sentiment-analyzer")
result = classifier("Renewable energy adoption reached record highs this quarter.")
print(result)