A Corpus Approach to Discourse Comparison of Chinese and Foreign English Media Coverage on Belt and Road

Abstract

This paper discusses the importance of Ningxia as a strategic pivot point of the “Belt and Road”, emphasizing its unique geographical location, rich history and culture, and significant economic status. Adopting a three-dimensional theoretical model, the article analyzes the reversible information of hidden semantics, and is based on objective quality evaluation. The subject words in the corpus are extracted through the LDA model, and the BiLSTM and improved RCNN algorithms are further applied to establish an efficient corpus model that can accurately recognize and classify the semantic structure of words. Taking Ningxia as an example, the study thoroughly analyzes the characteristics of Chinese and foreign media’s economic discourse on Ningxia, revealing the high frequency of “development” lexemes in the Chinese corpus as well as the positive and neutral attitude of overseas media’s coverage of Ningxia. The article provides new perspectives for understanding Ningxia’s current economic and cultural development and provides valuable references for media publicity and policy making.

Keywords

• lda model
• topic word semantics
• semantic recognition classification
• discourse construction
• 05c82