Semantic & Text Analysis
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Industry report
Text analytics technologies applied to unstructured data can help businesses make their best decisions.
Turning Data into Assets
Large, information-rich organizations are facing content overload. Unstructured data gets trapped in silos across departments, making access to knowledge or research difficult, while limiting content repurposing and monetization opportunities. The solution: Semantic & Text Analytics.
By applying a layer of rich, semantically annotated metadata atop content, Nstein can unlock its inherent value, making it more findable, visible, understandable, organized, centralized, and analysis-ready.
Nstein’s technology automatically ingests and analyzes unstructured data, identifying context, meaning, people, categories, entities and even sentiment, returning standardized, interconnected, structured data that can be viewed on a macro or micro level. With its patented algorithm, Nstein creates a "semantic fingerprint" for every asset - for easy identification and association. Ultimately, Nstein identifies nuance and meaning in content, making it ready for various applications, including Nstein's powerful new Semantic Site Search (3S); a multi-index finding engine that returns highly accurate, faceted results.