Analyzing Github pull requests with Neural Embeddings, in R

July 24, 2017

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

At the useR!2017 conference earlier this month, my colleague Ali Zaidi gave a presentation on using Neural Embeddings to analyze GitHub pull request comments (processed using the tidy text framework). The data analysis was done using R and distributed on Spark, and the resulting neural network trained using the Microsoft Cognitive Toolkit. You can see the slides here, and you can watch the presentation below. 



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