In our previous post, we made an introduction to emotion recognition to celebrate the release of the publication of our automatic Emotion Recognition pack. We talked about how emotions play a prominent role in the individual and social life of people and how they have a great impact on their behavior and judgements.

We also saw how thanks to Natural Language Processing we can extract the underlying emotions expressed in a text in a fast and simple way and we saw how useful it can be in multiple scenarios.

In this post, we are going to explain in depth how to get the most out of our automatic emotion recognition pack. We will talk about the criteria and considerations we’ve followed in our approach.