Having trouble organizing your unstructured data in a meaningful way?
Smart Cluster takes over when you don’t know which themes are covered in your information set. semantha reads your documents and groups their content thematically based on their meaning. So at the click of a button, you get clusters of documents or paragraphs pertaining to the same topic. This makes it easy for you to categorize your documents, gain insights into their content, or label them with their main topic.
Get an overview with Smart Cluster
Achieve results tied to your goals
Setting up an analysis is quick and easy. Once you’ve uploaded your documents to your library, your knowledge base is equipped with paragraphs and you’re good to go. Thanks to the possibility of assigning tags, you can specify exactly which paragraphs you want to cluster. In addition, you can configure your analysis with advanced settings to get results tailored to your needs.
Browse through the topics
After semantha has analysed your content, you get a list of clusters that contain paragraphs revolving around the same topic. You can immediately see which topics are covered in your document set, as the clusters are given names that indicate their topic. Take a closer look and find out which sections from a particular document belong to the respective cluster.
Get it summarized
Instead of investing a lot of time in scanning all paragraphs belonging to a cluster, generate a summary with just one click. This gives you a quick overview of a cluster’s content.
Explore results visually
Smart Cluster provides you with a practical visual representation of your analysis. You get a graphical breakdown of the individual topics. So, at a glance, you can see how frequently a topic is mentioned in your documents. Also, track the evolution of the topics over time or see how closely related different clusters are semantically.
See how it works
Use case classify and cluster
From research over requirements management to correspondence – generating clusters of similar content can bring great insight into unstructured document sets at many different levels. Find out more about “classify and cluster” in a business context and corresponding specific use cases.