Sentiment Analysis System

Sentiment Analysis System is a lightweight NLP-based web application that analyzes text and classifies it as Positive or Negative sentiment using machine learning.

Demo

👉 https://bigdad-sentiment-analyser.streamlit.app/

Screenshots

Home screen – text input and analysis options

Sentiment prediction with confidence visualization

Features

Analyze custom text or sample examples

TF-IDF + Logistic Regression–based sentiment classification

Confidence score and visual indicators

Automatic model training and loading

Deployed on Streamlit Community Cloud

Tech Stack

Python

scikit-learn

NLP (TF-IDF)

Streamlit

Plotly

Deployment

The application is deployed on Streamlit Community Cloud and automatically redeploys on every push to the main branch.

Future Improvements

Neutral sentiment classification

CSV-based batch sentiment analysis

Word cloud visualization

REST API using FastAPI

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