metadata

license: mit
title: Social Aegis
sdk: gradio
emoji: ⚡
colorFrom: blue
colorTo: yellow
pinned: true
sdk_version: 5.44.1

SocialAegis MVP

🛡️ A sentiment-based escalation engine to detect emotional volatility in social media posts.

Overview

SocialAegis is designed to analyze text from social media and other sources to detect sentiment, calculate a risk score, and determine whether escalation is needed. This helps organizations monitor emotional volatility in communications and take timely action.

Features

Sentiment Analysis – Classifies input text as Positive, Neutral, or Negative.
Risk Scoring – Provides a numerical score indicating the emotional intensity or risk level.
Escalation Trigger – Indicates whether the text requires escalation based on the risk score.
Supports All Text Inputs – Works with short posts, long messages, and multiple languages.

How to Use

Enter your text into the input box.
Click Submit or Run.
The app will return:
- Sentiment (Positive / Neutral / Negative)
- Risk Score (rounded to 2 decimal places)
- Escalation Trigger (Yes / No)

Example Inputs

"I am so frustrated with this service!"
"I had an amazing experience, thank you!"
"This is unacceptable, I will report this."

Dependencies

The app requires the following Python packages (all included in requirements.txt):

gradio
transformers
torch
scipy
sentencepiece
protobuf
langdetect

Notes

The model runs entirely in Hugging Face Spaces. No additional setup is required if you use the provided requirements.txt.
For best results, enter text in a single language at a time.

Credits

Developed by Karthik Vinay for SocialAegis MVP.