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TopicAnalysis

Automatically identify the most important topics in your text data. Structure thousands of open-ended responses into understandable categories.

Try module
10,000+ texts
per analysis possible
< 15 min
for 5,000 texts
95%+
categorization accuracy
The Challenge

5,000 open responses. 3 days to deliver.

Manual coding of free-text responses is time-consuming, subjective, and hard to reproduce. Important topics remain hidden in large datasets – or are discovered only after the report is done.

  • Manual categorization takes days or weeks
  • Different coders reach different conclusions
  • Rare but important topics get overlooked
Live Example

See Topic Analysis in Action

Original Feedback
“The app crashes constantly when I try to upload photos.”
“Great product, but customer service is terrible.”
“The value for money is just not right.”
“Communication with support takes forever.”
Detected Topics
Technical Issues
1 text
Customer Service
2 texts
Value for Money
1 text
The Technology

Semantic AI Instead of Keywords

Unlike traditional keyword analysis, our AI understands context and meaning of statements.

Keyword Analysis

Searches for 'price' and finds 127 matches

But: 'too expensive', 'costs exploded', 'cheaper alternative' are not found

deepsight Topic Analysis

Understands meaning and finds all 412 statements about pricing

'too expensive', 'value for money', 'costs', 'budget' are all correctly identified
Features

What Topic Analysis can do

Automatic detection

AI identifies relevant topics without manual input – learns from your data.

Hierarchical structure

Topics are organized into main and subcategories.

Quote linking

Each topic is backed by original quotes – traceable and verifiable.

Segment comparisons

Compare topics across customer groups, time periods, or regions.

How it works

From texts to topics

1

Analyze texts

The AI reads all texts and identifies semantic patterns.

2

Group topics

Similar statements are combined into topic clusters.

3

Name categories

Automatic, meaningful names for each category.

4

Validate & adjust

You review and refine the results as needed.

Two Approaches

Discover topics or apply categories

Choose the right approach for your situation – or combine both.

Topic Discovery

The AI analyzes your texts and independently finds relevant topics. Ideal when you don't have a codebook yet or want to discover new perspectives.

  • No predefined categories needed
  • Finds unexpected patterns
  • 3-15 topics configurable

Ideal für: Exploratory analysis, initial orientation

Apply Your Own Model

Use a trained model with your categories. Ideal for recurring analyses with an established codebook.

  • Consistent categorization
  • Comparable over time
  • Your terms, your structure

Ideal für: Tracking studies, established processes

Use cases

Ideal for

Customer surveysNPS commentsProduct feedbackSupport ticketsReviewsEmployee surveys
FAQ

Frequently asked questions

Combine with other modules

Sentiment AnalysisAnonymization

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.

Free Beta
No credit card required
Personal support
GDPR-compliant
Made in Germany