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


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

Google Scholar :

Scribd :


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.


Paper Submission Last Date
31 - December - 2022

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.