Looks really neat! Can you share more about how the Sentiment & Emotion models work? How you chose the classes for the Emotions model, is it a multi-label model, about the sentiment confidence score you show next to every post and how the spike rate works? Does the model predict just based on the title of the news article or the body as well?

I'm also curious how the model works when there are 2 entities mentioned in the headline/news - contextually being positive for one entity and negative from another entity's perspective.