Data algorithms for processing and analysis of unstructured text documents
Artem Borodkin, Evgeny Lisin, Wadim Striełkowski · Applied Mathematical Sciences · 2014
This paper deals with the functionality of a research program complex for processing and analysis of unstructured text data. It provides a thorough description of the implemented algorithms and experimental results obtained in various text samples. With the recent disclose of PRISM and similar governmental data surveillance programs, intelligent surveillance of the open source data that circle the World Wide Web is gaining a special importance. Our results might be used for improving the speed and the mode of the unstructured text data analysis and contribute to tackling the new threats that include international terrorism and espionage (including cyber-espionage) in the globalized world.