We use leading edge natural language processing techniques and machine learning models to execute data fusion of scientific, technical, and other big datasets to develop insights, identify trends, and conduct impact assessments in science, technology, R&D, innovation, and commercialization.
Scientometrics is the study of measuring and analyzing science, technology and innovation. Major research issues include the measurement of impact, mapping technology fields, and the production of indicators for use in policy and management of research and development, innovation, and technology. (Definition courtesy of Wikipedia.)
Bottomline, we build tools for technologists and analysts that support the effective management and cultivation of scientific discovery, innovation, and R&D activities.
This one-day workshop presents ways to optimize and visualize your topic modeling efforts so you generate a model that yields coherent, understandable, high-quality topics that provide real insight into your organization's data.
DIA is a machine learning/AI augmented platform for US DOD RDT&E budget analysis. It identifies SBIR/STTR awards aligned to DOD R&D projects and has the capability to provide US and adversary benchmarking through the ingestion of patents and scholarly journals.
Vector Analytics' solutions and tools leverage machine learning models and natural language processing (NLP) techniques. These models and NLP techniques are assembled in proprietary algorithmic pipelines to mine insight from large, unconnected sources of text and structured data.
Vector Analytics' models and NLP techniques are disruptive; they are built upon our leading-edge intellectual property and the scholarly work of the University of North Carolina Charlotte’s Text Analytics Lab.