We are excited to announce the launch of Emotion Detection features that will revolutionize the way you analyze and understand customer feedback. Our newest platform enhancement leverages Natural Language Processing (NLP) to provide you with insights into the emotion and sentiment of individual customer reviews. With the introduction of new and improved AI tools into the technology space, we saw the need (and want) for features revolving around the power of sentiment analysis and emotion detection. These tools improved upon our review response workflow, and aim to support businesses in responding efficiently to their reviews across all of the review sources that matter most.
The newly release process identified the emotions expressed in review comments and then categorizes them into a 2-point scale (positive or negative) with the traditional red (negative) and green (positive) presentation.
The emotion labels identified so are listed below (negative, then positive). As OpenAI continues to grow and learn we expect a slightly larger array to be available:
We are now building out robust reporting capabilities so that businesses of all sizes can evaluate their sentiment and emotion data across topics for individual or custom groups! We will continue to elevate our emotion detection and are excited to continue offering cutting edge tools like this to our client base.
