Natural Language Processing with Mindbreeze Insight Services



 

The Natural Language Processing Insight Service is available out of the box with every Mindbreeze deployment. Mindbreeze includes built-in methods for deep learning to capture the author or end-users meaning when they search for a particular subject or input a query. Natural language processing (NLP), natural language understanding (NLU), and natural language question-answering (NLQA) are the techniques that make this possible. These methods are used symmetrically to both analyze data as it is indexed and analyze user queries.

Natural language processing techniques enable Mindbreeze to surface insights across multiple languages, not from keywords but from natural, human language.

The Natural Language Processing Service ensures the processing of natural language and thus the understanding of content and company knowledge.

These methods are the foundation for many customers' uses with the Mindbreeze InSpire appliance. In addition to querying and receiving relevant answers, popular uses include:

Please stay tuned, as we will be taking a deeper dive into the Natural Language Processing Insight Service.

Want more information about our other Insight Services? Visit our Insight Services Page to have a look.

Latest Blogs

From Prompt Engineers to Context Engineers: The New Talent Imperative

Britney Chandler

In the race to master generative AI, "prompt engineering" became the buzzword of the year. Everyone wanted a perfect way to communicate with machines. However, as the hype fades, a more profound truth is emerging: it's not what you ask of AI, but what it knows when you ask it.

The Agentic Enterprise: When 80% of Customer Processes Run on AI

Gerald Martinetz

Imagine an enterprise where AI doesn’t just respond, it acts. An AI that resolves a customer ticket, updates your CRM, and notifies sales before anyone asks.