Brainspace is a cloud based platform which supports the creation of knowledge databases and performs text analysis using machine learning technologies. The technology is advanced, allowing knowledge to be extracted from a corpus of documents without tagging, taxonomies, and ontologies. The core capability is called Neuron, and this identifies relationships between words and phrases. The rate at which Neuron can extract meaning from documents is truly impressive – at around 2 million documents per hour.
There are three products offered by Brainspace:
- Discovery 5 is a text analytics platform with rich visuals to show connections between concepts and documents.
- Brainspaces are effectively knowledge bases. Users can create a Brainspace for free (we did), and it will pull together articles using keywords and phrases from various online sources. It isn’t just a passive tool either, Brainspaces will expand on concepts to discover related content, collections, and people.
- Brainspace for the enterprise supports both web content and enterprise content, enabling the connection of people and content as needed.
So before launching into more detail it is worth emphasizing what these different products do. Discovery 5 is text analytics – looking for concepts, related documents and the like. It is not just a knowledge base. Brainspaces are processed collections of documents with keywords and phrases identified.
Discovery 5 leverages the core machine learning technology provided by Brainspace to process large numbers of text based documents, and learn concepts and connections without any human preprocessing. This learning is surfaced through advanced, interactive visualizations. The applications are diverse and include intelligent data preparation, exploration and collaboration, and more generally the creation of insights and opportunities. The various views provide a rich interface and include Overview Dashboard, transparent concept search, timeline, document clusters, communication analysis, and structured data facets. Brainspace’s unique approach to document classification incorporates multiple active learning methods to accelerate system training, depth for recall for planning and cost analysis, and delivers best-in-class matching results. Typical applications can be found in Intelligence and Government, Pharmaceutical R&D, information governance, human resources and E-discovery applications.