80% of digital content in most enterprises is unstructured. Inefficiencies in making sense of this textual content leads to poor decision making. Disquery is an NLP Analytics engine that helps efficiently make sense of unstructured data. Beyond extracting semantic primitives(like people, organisation, keyword and location mentions in text), Disquery provides built-in functions to highlight trends and patterns hidden within content in near real-time.
Disquery is adaptable to domain specific text processing needs. Ingesting data from various data stores, extending processing pipeline with custom classifiers or feature extractors, notifying events of significance to downstream workflows or decision making systems, all aspects have been designed for real-world integration and deployment needs.
Every NLP project is unique. There is no silver bullet applicable to every scenario. Utilize our consulting services to evaluate your NLP project on three key factors of feability, cost and business value. Upfront analysis on these lines will help assess if intended business goals will be served.
Our consultants have experience in analyzing numerous NLP problems and building solutions around various NLP engines. Try us out, perhaps we would be able to save you time and money on a ineffective approach to for your NLP needs.