The Semantic Macrostructure and Mental Models in Political Speech: Mathematical Approaches and Text Mining


Authors : Dagiimaa Balaanz

Volume/Issue : Volume 7 - 2022, Issue 5 - May

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3lxr4Xt

DOI : https://doi.org/10.5281/zenodo.6571295

This research is a contribution to the discourse analysis, how the author uses the discourse tools to create the macrostructure, interrelationship between knowledge and communication based on discourse macrostructure theory, guided by the Fairclough's critical discourse analysis (CDA) and mental models for the global structure which explains knowledge and psychological factors of participants by Teun A. van Dijk and (Garnham 1987; Johnson-Laird 1983; van Dijk & Kintsch 1983; Van Oostendorp & Zwaan 1994). Through the analysis, aimed to identify the author's attitude, has been reviewed the creation of discourse mental model is a direct representation of attitude from the author within mental space described by knowledge, presupposition from the situation, then understanding of the issues is people take information directed by the author’s attitude and belief, also tried to find out how interviewer uses discourse tools to approach and discover the guest’s attitude at all. Moreover, it examines how to create knowledge which is a base of the macrostructure and global meaning of discourse. The meaning of keywords and concepts that express the global meaning of the discourse, were weighed mathematically to determine the significant value. These top ranks of weighted words are considered as a cognitive mapping and mental model within knowledge theory and information structure theory, thus here, aimed to identify and analyze authors' opinions and attitudes in political speech.

Keywords : Macrostructure, Cognitive mapping, Semantic Knowledge, Mental Model, Topic modeling, text mining, mathematical statistic

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