Sentiment distribution
sample data62%
Positive
23%
Neutral
15%
Negative
Sentiment Analysis on Amazon Reviews
Developed a sentiment analysis system to classify Amazon customer reviews into positive, negative, and neutral categories.
- Performed text preprocessing, including cleaning and tokenization.
- Removed unwanted punctuation and characters.
- Applied TF-IDF vectorization for feature extraction.
- Engineered a Support Vector Machine (SVM) classifier.
- Implemented model evaluation frameworks.
- Structured a real-time prediction function for custom incoming reviews.
