Traditional search systems that are based on simple keyword search fail to identify meaning inherent in the query and hence yield low precision results. Wissen’s Intelligent Search can discover documents specific to a topic and pin-point most relevant paragraphs for a given query. It’s advanced nlp pipeline extended with statistical analysis, facilitates asking grammatical and ungrammatical questions and also understands period queries.
Robust and extensive text pre-processing to produce deeply enriched version of the input. Unstructured content such as free form text, html documents, images and tables are converted into intermediate form and stored as triples.
Leverages hierarchical property of document text to boost relevance score
Lexical analysis, linguistic and semantic analysis on documents and queries, and paragraph relevance scoring( between query and paragraph)
Modular nlp pipelines
Also have the ability to link unstructured data with both internal and external structured data to drive analysis.