A Deep Dive into The Paper Emerging Words That Matter
1481
post-template-default,single,single-post,postid-1481,single-format-standard,wp-custom-logo,bridge-core-3.2.0,qi-blocks-1.3.2,qodef-gutenberg--no-touch,qodef-qi--no-touch,qi-addons-for-elementor-1.7.8,qode-page-transition-enabled,ajax_fade,page_not_loaded,,qode-title-hidden,qode_grid_1300,footer_responsive_adv,qode-content-sidebar-responsive,qode-theme-ver-30.6,qode-theme-bridge,qode_header_in_grid,wpb-js-composer js-comp-ver-7.7.2,vc_responsive,elementor-default,elementor-kit-74

12 Oct A Deep Dive into The Paper Emerging Words That Matter

Posted at 12:52h in podcast by

Episode Description

This is a deep dive discussion of the paper, “Emerging Words that Matter: Data Analytics Creates Meaning”, generated using Artificial Neural Networks (ANN) (courtesy: https://notebooklm.google.com)

This white paper explores the use of Natural Language Processing (NLP) techniques to analyze text data, specifically in the context of the concept of “Emergence”. NLP allows us to extract meaning, sentiment, and emotions from text, making it possible to understand how people define and discuss emergence further. The research uses word clouds, sentiment analysis, and emotion analysis to uncover patterns and trends, providing a deeper understanding of this complex concept. The expected findings include visual representations and insights into how emergence is understood and how these perceptions have changed over time. Eventually, this will provide us with emergent patterns from various domains such as healthcare, retail, social media etc. Emergent patterns help businesses predict upcoming trends so that they can prepare themselves. 

About the Author of The Paper

priyangka-roy

Priyangka Roy

Priyangka Roy is a Data Analyst and an MS Information Technology Management student at UT Dallas.

Print page
0 Likes
No Comments

Post A Comment