Latent Semantic Indexing - Additional Uses of LSI

Additional Uses of LSI

It is generally acknowledged that the ability to work with text on a semantic basis is essential to modern information retrieval systems. As a result, the use of LSI has significantly expanded in recent years as earlier challenges in scalability and performance have been overcome.

LSI is being used in a variety of information retrieval and text processing applications, although its primary application has been for concept searching and automated document categorization. Below are some other ways in which LSI is being used:

• Information discovery (eDiscovery, Government/Intelligence community, Publishing)
• Automated document classification (eDiscovery, Government/Intelligence community, Publishing)
• Text summarization (eDiscovery, Publishing)
• Relationship discovery (Government, Intelligence community, Social Networking)
• Automatic generation of link charts of individuals and organizations (Government, Intelligence community)
• Matching technical papers and grants with reviewers (Government)
• Online customer support (Customer Management)
• Determining document authorship (Education)
• Automatic keyword annotation of images
• Understanding software source code (Software Engineering)
• Filtering spam (System Administration)
• Information visualization
• Essay scoring (Education)
• Literature-based discovery

LSI is increasingly being used for electronic document discovery (eDiscovery) to help enterprises prepare for litigation. In eDiscovery, the ability to cluster, categorize, and search large collections of unstructured text on a conceptual basis is essential. Concept-based searching using LSI has been applied to the eDiscovery process by leading providers as early as 2003.