Text Analytics – An analysis of Political Media: Technical Report

Carpenter, Keith (2017) Text Analytics – An analysis of Political Media: Technical Report. Undergraduate thesis, Dublin, National College of Ireland.

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Abstract

The purpose of this research project is to delve into political media and gain an insight into how politicians use text to communicate with their audience. Politics is a driving force in the world; they use power of persuasion, mass media and influence to gain supporters. The way that politicians do this is through their speeches and other modes of texts. The goal of this project is to use different text analytics tools to explore the domain of political media. Using NLP, analysis will be conducted to determine sentimentality tone, personality insights, similarity of politicians, how audience react and which buzzwords are used as form of influence. Analysis was conducted on presidential speeches and twitter as a source of political debate. An analysis of the emotional tone and psychological factors gathered from a politician’s text allow us to see how they apply influence in their media. Sentiment analysis from Twitter shows how powerful the micro blogging platform is as a means of influencing political factors. The steps of this project are discussed in detail through applying the KDD methodology along with suggestions for further work.

Item Type:	Thesis (Undergraduate)
Subjects:	J Political Science > JA Political science (General) Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions:	School of Computing > Bachelor of Science (Honours) in Computing
Depositing User:	Caoimhe Ní Mhaicín
Date Deposited:	31 Oct 2017 15:56
Last Modified:	31 Oct 2017 15:56
URI:	https://norma.ncirl.ie/id/eprint/2698

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