Sentiment-Analysis

Customer Sentiment Analysis using Word Cloud

Project Overview

A simple NLP project that analyzes customer reviews using Python and TextBlob. Reviews are classified as Positive, Negative, or Neutral, and a Word Cloud is generated to identify the most common words in negative reviews.

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📊 Sentiment Distribution

This chart shows the overall distribution of customer sentiments.

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☁️ Negative Review Word Cloud

The word cloud highlights the most frequently used words in negative customer reviews, making it easier to identify common complaints.

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🛠️ Technologies Used

• Python
• Pandas
• TextBlob
• Matplotlib
• WordCloud

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📌 Key Learning

• Performed sentiment analysis using TextBlob.
• Visualized sentiment distribution.
• Generated a Word Cloud from negative reviews.
• Learned the basics of NLP and text visualization.

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