Netflix Sentiment Analysis

Project Overview

This project performs sentiment analysis on Netflix content descriptions using the VADER Sentiment Analyzer.

Tools Used

• Python
• Pandas
• Matplotlib
• Seaborn
• VADER Sentiment

Dataset

Netflix Movies and TV Shows Dataset

Steps Performed

• Loaded the dataset
• Selected title and description columns
• Applied VADER sentiment analysis
• Classified each description as Positive, Neutral, or Negative
• Visualized the sentiment distribution

Results

• Positive descriptions
• Neutral descriptions
• Negative descriptions

Conclusion

VADER successfully classified Netflix descriptions into different sentiment categories, providing insights into the overall tone of the content descriptions.