Why do we achieve more reach with certain topics and formats? Why do others have only limited success? Where do we need to distribute and what changes should we make to be more successful?
Do you want to know which content performs particularly well, why, and where? Would you like to understand the influencing factors for successful communication? Our content clustering provides the answers!
In the digital age, the analysis of text data is becoming increasingly important. Over 70% of companies worldwide consider NLP (Natural Language Processing) an essential part of their processes and are already using it to optimize their communication strategies (Source: Gartner).
Especially in marketing and communication departments, such components as the analysis of corporate and brand content, employee reviews, and presence in news media plays a crucial role.
A significant part of today’s data is in text form and requires advanced algorithms for its analysis. The content and form of the text are often critical factors to evaluate the performance of posts and texts. With our NLP and text analysis solutions, we help you tackle these challenges and gain valuable insights into your text data.
For the first time, this allows you to conduct a true content analysis of communication quickly, efficiently, and self-learning.
Advantages of Large Language Models (LLMs):
1) No more queries: The grouping of texts does not follow a pure keyword pattern.
2) Context is captured: The algorithm assigns texts to predefined clusters or finds its own.
3) Self-Learning Systems: The clustering can be dynamically expanded or changed.
We accompany you from planning through implementation to the end-to-end result. Our data competence and our understanding of IT allow us to manage the project centrally.
Do you have questions about Business Intelligence, Dashboards, Analytics or Scores?
Get in touch with us:
>> kontakt@munich-digital.com
>> Tel.: + 49 151 23 45 19 84
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