Automatic Classification, Blog, Knowledge management

Manage the information overload with document summarization software

If you work with information, the amount of data and documents available to you will always outweigh the time you have to actually read it. This is especially true for traditional information- and document-intensive fields such as law and life sciences, but also for roles like customer service, business intelligence and any enterprise role where users must field growing volumes of information.

Document summarization software is designed to summarize this text for you, extracting key points of the text.

What document summarization tools can do for your business:

  • Highlights a set of sentences that cover the different aspects of the document’s content
  • Uncovers the most relevant information for your activities so you can quickly understand the main content/topic of the document
  • Summarizes the most important sentences and combines them to give you a pertinent summary of the document
  • Identifies connections between sources and information to speed up your strategic activities
  • Addresses the opportunities offered by unstructured information, streamlining the processes

Document summarization software empowered by cognitive technology

Most document summarization systems rely on machine learning algorithms to extract snippets of text from a document. These technologies rely on a lot of training over time to be able to achieve good results because, at their core, they can’t actually “read” or understand the text. Cognitive technologies like Cogito can understand text like a human being does when reading. Here’s how it works.

At the core of Cogito is a semantic engine that resolves ambiguity to understand the meaning of each word in a text. Cogito starts by reading all of the words in a piece of content to capture the real meaning. It assigns text elements to their logical and grammatical role, and it analyzes their structure. This is called the disambiguation process, and it is performed by our knowledge graph, a domain-independent representation of knowledge to resolve conflicts that arise when a word can express more than one meaning.

Next, Cogito processes the logical structure of sentences to identify the most relevant elements and understand the topic discussed. It understands that a text is about “politics” and “economics” even if it doesn’t contain the the actual words but instead contains related concepts, such as “election,” “Democrat,” or “budget,” “tax” or “inflation.”

Document summarization software empowered with cognitive technology can read and understand the meaning of written texts with the speed and precision required to analyze huge volume of documents and extract the right information when you need it.


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