Frequently Asked Questions

What is sentiment analysis used for?

Sentiment analysis is used across various industries to understand emotional context in text data. Common applications include:

• • Brand monitoring and reputation management
• • Customer feedback and support analysis
• • Market research and consumer insights
• • Social media engagement tracking
• • Employee satisfaction monitoring

Is sentiment analysis accurate?

Our platform achieves high accuracy through advanced AI models and continuous learning. Typical accuracy rates are:

• • 85-95% for basic sentiment classification
• • 80-90% for complex emotional analysis
• • 75-85% for context-dependent sentiments

Each analysis includes confidence scores, and our models continuously improve through machine learning and regular updates.

How does AI detect emotions in text?

Our AI employs a sophisticated multi-step process to detect emotions:

• • Natural Language Processing (NLP) breaks down text into analyzable components
• • Contextual analysis examines word relationships and patterns
• • Deep learning models identify emotional indicators and intensity
• • Cultural and linguistic context awareness ensures accurate interpretation

What are the key features?

• • Advanced sentiment analysis with emotional intensity detection
• • AI-powered emotional growth mentor chatbot
• • Sentiment trend prediction algorithm
• • Personalized recommendations and insights
• • Interactive visualizations and reporting
• • Multi-language support with cultural context

How does the trend prediction work?

Our trend prediction algorithm analyzes historical sentiment data, identifies patterns, and uses advanced statistical models to forecast future emotional trends with confidence scores and seasonal adjustments.

What are the rate limits for API calls?

Rate limits vary by subscription tier. Basic plans include 1,000 requests per month, Professional plans include 5,000 requests per month, and Enterprise plans offer custom limits.

How is my data secured?

We implement enterprise-grade security measures, including end-to-end encryption, secure data storage, and regular security audits. All data is processed in compliance with privacy regulations.