Aikaksh-Singh-Routela/security-sentiment-model

Security Sentiment Analyzer

Fine-tuned BERT model that analyzes sentiment of cybersecurity news headlines.

Model Details

• Base Model: bert-base-uncased
• Task: Text Classification (Sentiment Analysis)
• Labels:
  • 0: Positive 🟢
  • 1: Negative 🔴
  • 2: Neutral 🔵

Accuracy

87.5% on test set

How to Use

from transformers import pipeline

classifier = pipeline("text-classification", model="Aikaksh-Singh-Routela/security-sentiment-model")

result = classifier("Ransomware attack shuts down hospital systems")
print(result)