An Analysis of Methods for Processing Large Numbers of Unstructured Data

The described analytical tools were already fully functioning in 2018, and they are continually being enhanced. The article discusses one tool’s potential for use in public support institutions. The case study of the technology trend for electric cars presents techniques for recognizing and diagnosing technological trends. Modern analytical methods must be used for effective programming of research and development (R&D) funding, calibrated to the real potential of beneficiaries. These semi-structured or unstructured formless data make searching and analysis difficult. This study provided an overview of the numerous documents and data that make up the unstructured data that is the foundation of predictive analysis. Only unstructured data occurs in information service systems without databases. The majority of information resources now provide consumers a variety of unstructured formats in addition to structured data. Data source will be the object of this article, which will also examine relevant information processing technologies, integrate it into complex network architectures, and examine how to create multi-type networks to fully utilize unstructured data.