💬 Customer Sentiment Analyzer NLP-Based Review

💬 Customer Sentiment Analyzer

NLP-Based Review Classification | Python | Streamlit

I developed a Customer Sentiment Analyzer that classifies reviews as Positive or Negative using Natural Language Processing and a Logistic Regression model built with scikit-learn.

The system extracts data from CSV files using Pandas, preprocesses text, converts it into numerical features through vectorization, and delivers accurate sentiment predictions through an interactive Streamlit web app.

Tech Stack: Python, Pandas, NLP, scikit-learn, Logistic Regression, Streamlit

Designed to help businesses quickly analyze customer feedback and make data-driven decisions.