Interpreting the emotions in journal entries with NLP

The "27 emotions" classification is the kind of thing that people come up when they want to do ML experiments forever and never face failure.

If the 27 emotions were uniformly distributed, you could do better than chance by guessing the right emotion 1 time in 20 (5% of the time!) but that would be completely useless from an engineering viewpoint.

If "Happy"/"Sad" were not good enough for you, try one of these

https://en.wikipedia.org/wiki/Emotion_classification#Dimensi...