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