Just to recap real quick, Part 1 of this series was focused on grabbing a CSV export of your email Sent Items and using Microsoft Azure’s Text Analytics API to return a sentiment result for each line.
The results that we grabbed from the API we used to increment a frequency table to essentially show us the overall count of Positive, Negative, Neutral or Unknown results.
We also found that fully understanding the timeline was difficult, as any export function from Outlook does not include Datetime data, so our analysis was just over the bulk of items we had in our Sent Items folder.
Part 2 Introduction

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