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📝 Customer Review Segmentation & Sentiment Analysis

📌 Overview

Understanding customer feedback is essential for any business. This NLP-based project processes customer reviews to:
✔️ Segment reviews into meaningful sections
✔️ Identify sentiment (Positive, Neutral, Negative)
✔️ Clean and preprocess text for better analysis

🚀 Features

🔹 Text Segmentation – Divides long reviews into structured parts
🔹 Sentiment Analysis – Identifies emotions in customer feedback
🔹 NLP-Based Approach – Uses tokenization, stopword removal, and stemming
🔹 Lightweight & Efficient – No machine learning model required

🛠️ Technologies Used

  • Python 🐍
  • NLTK 📝 (Natural Language Toolkit)
  • Pandas 🏷️
  • Regex & Text Processing
  • Matplotlib.pyplot

⚙️ How to Run

1️⃣ Clone the repository:

git clone https://github.com/theadeelahmed/Sentiment_analysis

About

Customer Review Segmentation & Sentiment Analysis using NLP , This project processes and segments customer reviews using NLTK and text preprocessing techniques to identify sentiments and extract key insights. Built with Python and Pandas, it provides a structured approach to analyzing customer feedback.

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