From stream to structure
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.
Videos
From stream to structure
Catalogue: Big Data World 2016: Understanding People Through Smart Data
Author: Andrew Jeavons
June 15, 2016
Research Papers
Social media meets Artificial Intelligence
Catalogue: Latin America 2017: #IN
Authors: Horacio Gonzalez, Moisés Arizpe, Jorge Alagon, Horacio González Duhart
Company: KANTAR TNS Malaysia
June 15, 2017
Webinars
The future of polling after 2020
Catalogue: Webinars 2020
Authors: Kathy Frankovic, Clifford Alexander Young, Jennifer Agiesta, Jean-Marc Leger, Courtney Kennedy, Robert Y. Shapiro
December 16, 2020
