LEXICAL-SEMANTIC GROUPS OF CRITICAL MATERIALS USED IN NEWSPAPERS

Abstract

This study examines the lexical-semantic groups of critical materials used in newspapers. The analysis focuses on identifying and categorizing the lexicon related to crucial topics and events in newspaper articles. A corpus of newspaper texts is used to extract and analyze critical vocabulary, with particular attention to the semantic relationships and thematic clusters of the identified terms. The study employs computational linguistics techniques to uncover patterns and associations within the critical materials lexicon. The results provide insights into the key themes and concepts addressed in newspaper reporting, shedding light on the language used to discuss significant issues in the media. This research contributes to a deeper understanding of the lexical-semantic landscape of critical materials in newspapers and offers valuable implications for fields such as journalism, media studies, and computational linguistics.