Poor quality content, especially metadata, is a leading cause of user dissatisfaction and underperformance in search, analytics, and natural language processing (NLP) applications. The acquisition, preprocessing, and enrichment of unstructured content – text, images, voice – is critical yet often neglected when building insight discovery applications.
Aspire Content Processing – a powerful, scalable framework designed for unstructured data – can help address this challenge. It’s efficiently leveraged in various enterprise search and analytics implementations, including intranet search, e-commerce search, government portals, natural language understanding systems, intelligent document understanding, and other AI-powered applications.
Aspire Content Processing can be deployed as a standalone asset or within an optimized reference architecture incorporating our range of technology assets.
Contact us to learn how Aspire Content Processing framework can help improve your search, analytics, and NLP applications.
