Measuring Discourse Bias on Top Speeches by Women for Women: Text Mining Analysis


Authors : DAGIIMAA BALAANZ

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

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

Scribd : https://bit.ly/396aThx

DOI : https://doi.org/10.5281/zenodo.6618409

The purpose of this research article is to show how the participation of women politicians and their public speeches in social cognition and how women speakers deliver their voice at the decision-making level, using the strategies based on discourse topics and text mining techniques. For this, knowledge is an important factor in creating discourse and understanding discourse, we examined. Knowledge is the general level of "understanding" of a writer, speaker, or interlocutor, how he or she views the issue from many angles, how well it conforms to general principles, how the real world evaluates the interrelationships of phenomena, and the timing of the issue. All forms of knowledge should be taken into account, and the use of tactics to make speech understandable is also related to knowledge. Semantic knowledge is an experience gained over a lifetime, and the ability to understand and abstract anything is a mental activity based on practice. It is measured by episodic-based personal experiences, memories, and general knowledge. Thus, we intended to show how semantic knowledge is getting the base of discourse in social cognition.

Keywords : knowledge, topic, context model, mental models, mental representations, bias, topic modeling, discourse network, evolution of topics, influence distrituon.

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31 - December - 2022

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