From stream to structure

Date of publication: November 18, 2016

Author: Andrew Jeavons

Abstract:

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

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