IBM Watson NLU

IBM Watson NLU analyzes text to extract insights like sentiment, keywords, and categories. It helps businesses understand customer feedback and improve engagement.

Key Features

• Sentiment analysis to gauge customer emotions
• Keyword extraction for content optimization
• Entity recognition for better context understanding
• Language detection for multilingual support
• Customizable models for specific business needs

Pros

• Affordable pricing with a free Lite plan
• High accuracy in sentiment detection
• Robust API for easy integration
• Supports multiple languages

Cons

• Complexity in setup for advanced features
• Limited features in the free Lite plan
• Pricing can escalate with high usage
• Learning curve for non-technical users