Sentiment Analysis

Overview

Sentiment analysis determines emotional tone and opinions in text, enabling understanding of customer satisfaction, brand perception, and feedback analysis.

Approaches

• Lexicon-based: Using sentiment dictionaries
• Machine Learning: Training classifiers on labeled data
• Deep Learning: Neural networks for complex patterns
• Aspect-based: Sentiment about specific features
• Multilingual: Non-English text analysis

Sentiment Types

• Positive: Favorable, satisfied
• Negative: Unfavorable, dissatisfied
• Neutral: Factual, no clear sentiment