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Article . 2023
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Article . 2023
License: CC BY
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Article . 2023
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Analyzing the Semantic Structure of Discourse Algorithmically

descriptionPublicationkeyboard_double_arrow_right Article 16 May 2023Publisher:Zenodo
Authors: Balaanz Dagiimaa;

doi: 10.5281/zenodo.7940928 , 10.5281/zenodo.7940927

Analyzing the Semantic Structure of Discourse Algorithmically

Abstract

Studying the main idea and tone of speech using an algorithm is of theoretical and methodological significance for determining the phenomena and their meaning structure in discourse studies. We numerically and indexically ranked the frequency and strength of relevance of themes to create a structure map of the discourse's meaning, In doing so, we intended to determine the main ideas of speech and speech by keywords and to determine the spread and impact of those keywords using an algorithm-based method.

Keywords

Macrostructure, mental models, semantic structure, keyword distribution, topic modeling, mathematical-statistical methods.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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