Last week we discussed the VERN emotion recognition model. We talked about how the world doesn’t have a clear idea of how many emotions there are, what they are, and how the heck they can even be detected. We provided some clarity on our model and how it relates to...
Using emotion recognition models to find emotion
Last week we compared sentiment analysis to emotion recognition software, using VERN. We saw that sentiment analysis rated content as “positive,” “negative,” “neutral,” and “mixed.” Some software rated content with a magnitude, indicating the strength of the “positive,” “negative,” “neutral,” or “mixed.” In some cases, it is accurate. In others, it...
What to expect from your emotion recognition software
Emotion recognition software like VERN looks for emotional clues in text. What people say, or write down and send to one another, through emails or chats or text messages often contain emotions. Not just strictly sentiment, but the emotions that we are familiar with and would recognize someone expressing them....