Text Analysis For Call Center Short Demo Using R and Google Speech API

This was from about 25 call recordings at a call center that were transcribed from speech to text using the Google Speech API. Once I transcribed the calls - I converted them into plain text (i.e. rtf to txt) and just dropped them in a folder and then used R to play with the text. Basically these packages and R scripts just take the data- put it in a friendly format and clean it up and then fondle it to bring some very general but meaningful insight. You can use this to see what types of calls you are getting, to find correlations with the calls and groupings with the cluster, and to see words that are most often used as well as toggle the thresholds to make it more strict or loose in finding words used more often/less.

I will be sharing my scripts at some point, as they are very basic at the moment.
Under the Text Analysis Repo (not the twitter repo). Keep in mind you need your own text to analyze as I can't share that content. Although there are libraries with books and example text datasets if you google tidytext examples and documents online.

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