# Sentiment Analysis

> Analyze customer emotions and opinions from text data to gain insights into brand perception and customer satisfaction.

- **Type:** AI & ML solution by CogniDiv
- **Page:** https://www.cognidiv.com/solutions/sentiment-analysis
- **Contact:** contact@cognidiv.com · https://www.cognidiv.com/contact-us

## What is included
- Multi-language Support
- Real-time Processing
- Emotion Detection
- Aspect-based Analysis
- Trend Monitoring

## Benefits
- Improved customer understanding
- Proactive issue resolution
- Better product development
- Enhanced brand monitoring

## Use cases
- **Social Media Monitoring:** Track brand mentions and customer sentiment across social platforms.
- **Product Review Analysis:** Analyze customer reviews to identify product strengths and issues.
- **Customer Feedback:** Process survey responses and feedback forms for insights.

## Technologies
NLTK, spaCy, VADER, TextBlob, Transformers, Azure Text Analytics

## Frequently asked questions
### How accurate is sentiment analysis?
Our models achieve 94%+ accuracy and continuously improve through domain-specific training and feedback loops.

### Can you analyze sentiment in multiple languages?
Yes, we support sentiment analysis in 50+ languages with cultural context awareness.

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Source: https://www.cognidiv.com/solutions/sentiment-analysis