🚀 Introducing Sentira CORE | Neural Sentiment Engine 💠
Excited to share Sentira CORE, an interactive NLP & ML-powered tool that analyzes text emotions with high precision. Detects six emotions — Joy, Love, Surprise, Sadness, Anger, Fear — and provides real-time insights.
🧪 Algorithm: Linear Support Vector Classifier (LinearSVC)
🎯 Accuracy: ~89.2%
📐 Vectorizer: TF-IDF with custom NLTK stopword filtering
🏷️ Classes: Joy · Love · Surprise · Sadness · Anger · Fear
⚡ Inference: Real-time (< 100ms)
🎨 Features:
Neural sentiment processing in real-time
Emotional Spectrum Index: Positive vs Negative
Ultra-modern glassmorphism UI/UX
🔗 Try it live: https://lnkd.in/gEgzUv7k
📂 GitHub Repo: https://lnkd.in/gEk6vSVG
💬 I’d love your thoughts! How would you use sentiment analysis in your projects?
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