I am working on a NLP project (using python) in which we are predicting the sentiment of people conversation that happen on chat pod. Basically we are classifying sentiment to be either positive and negative which could help us to judge the depression of a person. We have successfully build this model and algorithm is able to predict the correct sentiments.
Saying so, we have further requirements on this, now customer is looking for how to judge whether person is feeling anxious, stressed, angry, depressed. I could think of building different kind of corpus namely anxious, stressed etc based on which classifier will classify the sentiment mode.
Again that’ my take on it, I am looking for a better solution or logic which can be implemented. Please feel free to comment.