Applied Mathematics and Nonlinear Sciences, Journal Year: 2025, Volume and Issue: 10(1)
Published: Jan. 1, 2025
Abstract On the subject and influence of news is not an unfamiliar topic, however, audiences generally feel that journalists are manipulators discourse. In this paper, from perspective linguistics, we explore lexical dynamics in different English new corpora construct a probabilistic model discourse power for research. Web crawler technology utilized to obtain relevant corpus information, data processed handled. Then Bayesian belief network established by determining common retrocausal reasoning logic speech act derivation Bayes’ theorem link two, improved condition their attributes must be independent each other, finally probability constructed based on model. financial news, World Customs Organization News Corpus, BROWN Corpus chosen as research objects empirical analysis. The results study show construction conversational meanings can carried out features if it optimal set F1 F2, do differ depending contextual or type meanings. terms usage, proportion real words (especially nouns) higher than generalized discourse, indicating information density greater function, shows stronger informativeness English.
Language: Английский