Semantic Representations of Political Discourse: based on Topic Modeling and Algorithms


Authors : DAGIIMAA BALAANZ

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

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

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

DOI : https://doi.org/10.5281/zenodo.6575220

This research is a contribution to text network analysis using text mining algorithms, how the speaker creates discursive approaches of macrostructure and interfaces with knowledge based on the mental model within discourse macrostructure theory, developed by the Fairclough, Teun A. van Dijk, aimed to identify and analyze authors opinion and attitude in political speech. The detection of sentiment and emotional tone is also related to the method of semantic structure in discourse, which is a psychological factor. Therefore, the episodic and mental space, which study of the psychological factors based on the theory of knowledge, has practical importance in determining the thought. In the social and language sciences, knowledge is also studied to measure variables and psychological factors for thought and its interrelationships.

Keywords : Discourse macrostructure, text network analysis, discourse bias, mental models, topic modelling, text mining, mathematic stats

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