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Semantic Data Modeling

Info Station Content Classifier categorizes unstructured information by performing Knowledge graph-powered semantic analysis over the full text of the documents and applying supervised machine learning and rules that automate classification decisions.

Knowledge and Awareness

Represented as a knowledge graph that contains factual information: diverse data about rich set of entities and concepts of interest. Possessing enough lexical and grammatical knowledge to comprehend text, combined with the skill to resolve ambiguity and extract relationships from free text.

Content Classification Relationship Graphs

Classify documents by common entities or 55+ general categories such as News, Technology and Entertainment. Build relationship graphs of entities extracted from news or wikipedia articles, by using signals from the state of the art syntax analysis.