DataScava is an Unstructured Data Miner for Data, Business, and IT teams
Get the high-value data you need for use with applications in AI, ML, RPA, BI, Research, Operations, Talent, and more. Curate, search, filter, match, and route raw unstructured text using your business language, domain-specific expertise, and our patented technology you control.
“DataScava perfectly complements existing approaches to unlocking the value of unstructured text data – by helping companies to model higher-level intents and purposes behind the labeling and classification of data – by capturing the abstract topics and themes that represent their own business and subject matter expertise – and by applying both to big data sets real-time.”
– Scott Spangler, Chief Data Scientist, IBM Distinguished Engineer, Author
“Mining the Talk: Unlocking the Business Value in Unstructured Information”
Mine Raw Text Data Using Your Business and Domain-Specific Language
Mine unstructured and semi-structured text — from documents, databases, emails, helpdesk tickets, contracts, reports, articles, transcripts, chats, subscriptions, filings, forms, resumes, surveys, notes, and other sources — based on intents, interests, priorities, relevance, and more.
Our Domain-Specific Language Processing (DSLP), Weighted Topic Scoring (WTS), and Tailored Topics Taxonomies (TTT) methodologies work as an alternative or adjunct to Natural Language Processing (NLP) and Natural Language Understanding (NLU). They generate metadata about unstructured text for use in other systems and charting, with results you can see and measure.
DataScava helps you model and capture features and topics within heterogeneous text using specialized taxonomies you can edit, create, import, and control to capture your business and domain expertise, allowing for the highly customized vocabulary and specific business logic necessary for complex document processing.
How DataScava is Different