DATASCAVA

DataScava is a fast, easy-to-use tool for modeling and capturing features and topics within heterogeneous text using your organization's own taxonomy and a rules-based approach, which allows it to be highly customized around your vocabulary and for the design of specific business logic necessary for complex document processing. Use it to mine unstructured text data based on content, intents, and topics of interest you define and control... Headquartered in New York City, with decades of experience in software development, technology, financial services and recruitment, we have been immersed in research, development and implementation of robust unstructured text data mining solutions built upon our proprietary Domain-Specific Language Processing ("DSLP"), patented Weighted Topic Scoring ("WTS"), and Tailored Topics Taxonomies ("TTT") methodologies, which work as an alternative or adjunct to Natural Language Processing ("NLP") and Natural Language Understanding ("NLU"). We have been..

Primary location: New York United States