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Our Content Informatics platform - DisKoveror, empowers the Knowledge worker to Discover, Analyze and Visualize the unknown and seemingly unrelated facts and relationships buried in all forms of digital assets within an Enterprise. Using several patent-pending algorithms related to Theme-based Discovery, Relationship Visualization & Unstructured Data Analytics, content such as Research Articles, Technical & Scientific Literature, Emails, White Papers, User Manuals, Warranty Claims, etc. can now be mined more effectively for business intelligence and competitive advantage.
Unlike Keyword Searching which is merely a pattern matching technique of the search term, Theme-based Discovery understands the overarching meaning, concept & context behind every search query. Leveraging domain specific Ontologies, Thesauri along with User Preferences and Profile, the Search process results in highly precise and complete result set dynamically classified into various Themes for further exploration.
Aggregate knowledge of Entities, Facts and Relationships buried deep in the result set can be visualized for easy comprehension through a variety of Charts, Tables and Graphs. Through such an approach, a Researcher in the Life Sciences is quickly able to generate a hypothesis; a Market Researcher can gauge Customer Sentiments towards a product or brand
The techniques we employ are a result of multi-man years of collaborative research in the areas of Text Mining, NLP, Machine Learning , Statistical & probabilistic Algorithms and Ontology management.
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DisKoveror for Life
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