CONTENT ANALYST' PATENTED LATENT SEMANTIC INDEXING (LSI) TECHNOLOGY

Latent Semantic Indexing (LSI) is our patented machine-learning technique that enables technology to identify, represent, and compare concepts existing within a collection of documents or data.

LSI technology is designed to extract every contextual relation among every term in every text object within a collection. It then generates a vector space representation of all terms based on those relations. Within that space, proximity is a good indicator of conceptual similarity. The result: similarities can be identified based on concepts within the material.

The Content Analyst team has evolved the original concept of LSI to create a major extension and refinement of the technology.

Refer to our White Papers Section to read more about LSI.