From Stream to Structure: Using topic analysis to segment presidential tweets

This paper describes the use of computerized topic analysis to segment and analyze 'tweets' sent on the Twitter social networking platform by US presidential election candidates in 2016.

From Stream to Structure: Using topic analysis to segment presidential tweets

Andrew Jeavons

Introduction

This paper describes (the use of computerized topic analysis to segment and analyze tweets by US presidential election candidates in 2016. The statistical technique used to create the topics is called Latent Dirichlet Analysis (LDA). The paper shows how LDA can be used to automatically generate topics in textual data and discusses the potential to use LDA as both a static "batch" and real time analysis approach for textual data.

Overview

This study was conducted for the purpose of testing Latent Dirichlet Analysis automated topic analysis...

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