analyzing-text-sentiment

Performs sentiment analysis on text to detect emotional tone and polarity.

• Analyzes emotional content in text.
• Classifies sentiment as positive, negative, or neutral.
• Provides sentiment scores and polarity.
• Uses AI/ML models for accurate detection.

• Detects sentiment polarity (positive, negative, neutral)
• Supports diverse text types (reviews, social media, surveys)
• Provides quantitative sentiment scores
• Can be integrated with other plugins
• Identifies emotional tone in written communication
• Handles context-aware interpretation
• Detects sarcasm and irony with context awareness

1. 1.Input clear, unambiguous text data.
2. 2.Use appropriate model for text type (e.g., social media, reviews).
3. 3.Interpret results considering context and tone.
4. 4.Combine with other plugins for automated workflows.