Exploration of Tree Based Gradient Boosting Models to classify terrorism events as Suicide Attacks

Using Tree Based Gradient Boosting Models to classify terrorism events as Suicide Attacks Tracy Keys 13 June 2017 Background My team Gonzo at UTS used the Global Terrorism Database (GTD) to explore whether distinct features of terrorism events could predict the ABC’s online reaction to them. We did this through web scraping the ABC’s Twitter […]

Using topicmodels package for analysis of topics in texts

My vignette is about text mining and analysis, utilising the tm and topicmodels packages in R and Latent Dirichlet Allocation, to work out what the documents are written about without having to read them all! The vignette shows you how to create a Document-Term Matrix, then uses LDA to work out what key themes are […]