векторизація

This article presents a study aimed at developing an optimal concept for analyzing and comparing information sources based on large amounts of text information using natural language processing (NLP) methods. The object of the study was Telegram news channels, which are used as sources of text data. Pre-processing of texts was carried out, including cleaning, tokenization and lemmatization, to form a global dictionary consisting of unique words from all information sources.

The aim is to find accurate, fast and economical way to update maps with information obtained by remote sensing data. There were all the necessary research to update the maps of the study area city of Kerbala (Iraq) scale 1: 50,000, which was last upgraded in 1984. Method. Updating map was carried out in three stages. The first stage – the digital processing of satellite images and maps using GIS professional ArcGIS9. After combining the coordinate system of satellite images and maps was performed controlled classification.