AI-Powered Sentiment Analysis
Understand the mood and emotional tone of your texts. Automatically identify positive, negative, and neutral statements.
30% negative. But why?
You know that part of your feedback is negative – but which topics are affected? Which aspects frustrate your customers the most? Without this connection, sentiment is just a number.
Recognize sentiments
Positive
Neutral
Negative
Hidden Criticism Gets Detected Too
Traditional tools fail with sarcasm and irony. Our AI understands context.
Nuances Instead of Just Positive/Negative
Our differentiated scale recognizes the difference between slight criticism and strong frustration.
More than just positive/negative
Sentiment per topic
See not just the overall sentiment, but the mood for each identified topic.
Trend analysis
Track how sentiment evolves over time.
Emotion detection
Identify specific emotions like joy, anger, frustration, or excitement.
Driver identification
Understand which factors cause positive or negative sentiment.
Sentiment + Topics = Actionable Insights
Only in combination with topic analysis does sentiment become truly valuable:
32% of feedback is negative
- Support wait times → Sentiment -1.8
- Product quality → Sentiment +1.5
- Pricing → Sentiment -0.9
Now you know exactly where to take action.
Why German Sentiment Analysis Is Different
The German language poses unique challenges for sentiment analysis. Our AI was specifically trained to handle them.
Compound Words
German compound words like 'Servicewüste' (service desert), 'Katastrophenmanagement' (disaster management) carry sentiment within compound terms that simpler tools miss.
Sentence Structure & Negation
In German, negation often appears far from the verb: 'Das Produkt hat mich in keiner Weise überzeugt.' Simple tools only detect 'überzeugt' (convinced) as positive.
Modal Particles
Words like 'halt', 'eben', 'schon', 'ja' subtly change meaning: 'Das ist halt so' (That's just how it is) vs. 'Das ist so' (That's how it is). Our AI recognizes these nuances.
Sentiment per Aspect – Not Just per Text
A single comment can contain both positive and negative sentiment simultaneously. Our aspect-based analysis detects this.
“The food was excellent, but the service was a disaster and the wait time was far too long.”
Ideal for
Frequently asked questions
Combine with other features
See your open responses as structure – not as a wall of text
Start directly with your own data or validate your use case with guidance – including stakeholder assurance.