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In 2017, we extended the app functionality to measure 5 basic emotions and added visualization of the emotions using spiderweb graphs and bar charts.
In 2018, the emotions analysis was extended from 5 to 6 emotions to fit closer to the copywriters’ needs to measure the motivational group of emotions.
In 2020 we switched from the Laravel platform to .Net technology for a fresh rebuild of the software that now incorporates AI-powered analysis using 27 emotions organized in 8 groups. Changed the emotions and sentiment visualization to use more flexible css-based heat map rendering. Incorporated NLP systems from Google, Twitter, and Amazon to get context-sensitive emotions analysis. Added a Microsoft-powered learning algorithm to recognize facial expressions as specific emotions and overlay those emotions to the text, further improving the copywriters’ insight into how their text will affect the readers.