Building an Employee Sentiment Analysis System

Understanding employee feedback can help organizations improve workplace culture and employee satisfaction. However, manually analyzing thousands of reviews is both time-consuming and inconsistent.

To address this challenge, I built an Employee Sentiment Analysis system that processes textual reviews and classifies them based on sentiment.

Technologies Used

• Python
• Pandas
• NLTK
• VADER
• Scikit-Learn
• Matplotlib

Project Highlights

• Data cleaning and preprocessing
• Text normalization
• Sentiment classification
• Company-wise comparison
• Interactive visualizations

This project helped me understand the complete NLP pipeline, from preprocessing raw text to visualizing meaningful business insights.