Automatically understand the mood in your feedback
AI Sentiment Analysis
Context-sensitive sentiment analysis with GPT-4o via Azure (GDPR-compliant) for precise mood detection in over 100 languages
AI sentiment analysis from deepsight cloud detects moods in customer feedback, employee surveys, and social media comments – with context understanding for sarcasm, irony, and industry-specific expressions.
How Sentiment Analysis Works
"Absolut enttäuschend, nie wieder!"
"Leider nicht wie erwartet, etwas enttäuscht."
"Es ist okay, nichts besonderes."
"Bin zufrieden, gute Qualität."
"Fantastisch! Übertrifft alle Erwartungen!"
"Katastrophaler Service, unverschämt!"
"Könnte besser sein, aber akzeptabel."
"Funktioniert wie beschrieben."
"Empfehlenswert, hat mir gefallen!"
"WOW! Absolut begeistert, 5 Sterne!"
Positive or Negative Mood?
Positive or Negative Mood?
Manual sentiment rating is subjective and inconsistent. Standard tools don't recognize sarcasm and context. Multilingual analysis is complex.
Manual rating is subjective and time-consuming
Sarcasm and irony are not recognized
Context is lost with keyword-based tools
Multilingual analysis requires separate models
Die Lösung
Context-Sensitive Sentiment Analysis
GPT-4o via Azure (GDPR-compliant) analyzes sentiment with understanding of nuances:
5-Point Scale
Very negative (-2) to very positive (+2) for nuanced analysis
Confidence Scores
Rating confidence from 0.0-1.0 for each analysis
Context-Based
Distinguishes between HR feedback and customer feedback
Multilingual
Over 100 languages without prior translation
5-Point Scale for Nuanced Analysis
From very negative to very positive
Very Negative
Strong dissatisfaction, frustration, anger
Negative
Mild dissatisfaction, criticism
Neutral
Factual, without clear sentiment
Positive
Satisfaction, positive feedback
Very Positive
Enthusiasm, strong recommendation
Sentiment Analysis in Workflow
Combine sentiment and topic analysis for deeper insights
Anwendungsfälle
Use Cases
Where Sentiment Analysis is used
NPS Analysis
Understand the mood behind NPS scores
- Automatically prioritize detractor feedback
- Identify promoter reasons
- Derive action recommendations
Support Prioritization
Automatically escalate negative tickets
- Immediately detect urgent requests
- Prioritize frustrated customers
- Prevent SLA violations
Brand Monitoring
Monitor mood in social media
- Immediately detect negative mentions
- Identify reputation risks early
- Use positive trends for marketing
FAQ
Frequently Asked Questions
Yes! GPT-4o (GDPR-compliant via Azure) understands context and recognizes sarcastic statements like 'Great, crashed again'.
How confident the AI is in the rating (0.0-1.0). At 0.5, the mood is unclear (e.g., mixed feedback).
Yes, GPT-4o via Azure (GDPR-compliant, EU servers) analyzes sentiment in over 100 languages without prior translation.
Yes! You can define custom scales (e.g., 1-5 stars) instead of Positive/Neutral/Negative.
Depends on the chosen model (GPT-4o & other models via Azure, GDPR-compliant).
More Modules
Discover Related Modules
Combine modules for a complete analysis workflow