I am working on Sentiment Analysis model. The dataset I have has three labels POSITIVE , NEGATIVE and NEUTRAL
But the problem is the data is not equal for labels. Say out of 100K , 75 K are neutral, 15K positive and 10K negative.
I wanted to know whether it is necessary to chose equal distribution of labels while training or I can go ahead with unequal data and if so till what extent. Are there any ways to deal with such problem.