Analyzing emotions in video with R

January 6, 2017
By

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

In the run-up to the election last year, Ben Heubl from The Economist used the Emotion API to chart the emotions portrayed by the candidates during the debates (note: auto-play video in that link). In his walkthrough of the implementation, Ben used Python to process the video files, and R to create the charts from the sentiment scores generated by the API.

Now, the learn dplyr blog has recreated the analysis using R. A detailed walkthrough steps through the process of creating a free Emotion API key, submitting a video to the API using the httr package, and retrieving the emotion scores as an R data frame. 

With the emotion scores in hand, the blog visualizes the data using exploratory.io, a web-based data exploration GUI based on R. With a few points and clicks (plus a little R code to wrangle the data), Exploratory produced this chart of the emotions expressed by the two candidates over time. (Click for an interactive version.) 

Exploratory

For the complete details, including the R code used to interface with the Emotion API, follow the link below.

Learn dplyr: Analyzing Emotions using Facial Expressions in Video with Microsoft AI and R

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