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

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)