Introducing Sentira CORE

Source: Dev.to

Overview

Introducing Sentira CORE, an interactive NLP & ML‑powered tool that analyzes text emotions with high precision. It detects six emotions — Joy, Love, Surprise, Sadness, Anger, Fear — and provides real‑time insights.

Algorithm & Performance

• Algorithm: Linear Support Vector Classifier (LinearSVC)
• Accuracy: ~89.2%
• Vectorizer: TF‑IDF with custom NLTK stop‑word filtering
• Classes: Joy, Love, Surprise, Sadness, Anger, Fear
• Inference: Real‑time (< 100 ms)

Features

• Neural sentiment processing in real‑time
• Emotional Spectrum Index: Positive vs Negative
• Ultra‑modern glassmorphism UI/UX

Try It

• Live demo: https://lnkd.in/gEgzUv7k
• GitHub repository: https://lnkd.in/gEk6vSVG

Call for Feedback

I’d love your thoughts! How would you use sentiment analysis in your projects?

Tags: NLP, Machine Learning, AI, Sentiment Analysis, Python, Streamlit, Data Science, AI Engineering, Innovation