MRI
MRI India Journals Vol. 8 No. 12 (2024): Volume 8 Issue 12 2024

Analysis of Political Leaders Speech Using NLP and AI: Techniques and Algorithms

Authors

  • Malayaj Kumar Research Scholar, Department of CSE, Shri Jagdishprasad Jhabarmal Tibrewala University, Rajasthan
  • Anuj Kumar Singh Research Guide, Shri Jagdishprasad Jhabarmal Tibrewala University, Rajasthan
  • Soumitra Das Research Co-Guide, Shri Jagdishprasad Jhabarmal Tibrewala University, Rajasthan

DOI:

https://doi.org/10.65521/ijasret.v8i12.2010

Keywords:

NLP Deep Learning Machine Learning K-Means CNN RNN Decision Trees SVM

Abstract

Artificial intelligence, also referred to as AI, is one of the most important developments in this rapidly developing subject, and its application is rising. Among the numerous ways artificial intelligence is changing the world today is by analyzing political statements using sophisticated algorithms. We explore the ways in which artificial intelligence (AI) is transforming the analysis of public speeches and how this science is becoming more and more crucial for political academics, analysts, and strategists. Researchers may find trends in political statements that might otherwise go unreported by using artificial intelligence (AI). Repetition, alliteration, and exaggeration are examples of rhetorical techniques that AI systems can identify. Algorithms are also capable of identifying the political speech's emotions, such as happiness, sorrow, or wrath. By using Artificial Intelligence (AI) and Natural Language Processing (NLP) to political speech analysis, scholars may get profound understanding of ideological tendencies, rhetoric, and mood. A pipeline comprising preprocessing of texts, extracting features, and predictive machine learning or neural network models customized to particular analytic objectives comprise the process.

Downloads

Published

2024-12-16

How to Cite

Kumar, M., Singh, A. K., & Das, S. (2024). Analysis of Political Leaders Speech Using NLP and AI: Techniques and Algorithms. International Journal of Advanced Scientific Research and Engineering Trends, 8(12), 15–24. https://doi.org/10.65521/ijasret.v8i12.2010

Similar Articles

<< < 3 4 5 6 7 8 9 10 11 12 > >> 

You may also start an advanced similarity search for this article.