DelibAnalysis: Analyzing Twitter Data for the 2016 US Presidential Elections


This project will be a computational analysis, done primarily in R, of political discourse on Twitter during the US Presidential Elections. A combination of network analysis and discourse analysis, using Bayesian methodologies and sentiment analysis, are currently being explored. See the exploratory code on GitHub here.

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