Create README.md

README.md

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+# 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)