I am trying to create a sentiment analysis model using binary classification as loss.I have a batch of tweets that some of them are tagged as positive (labeled as 1) and negative (labeled as 0).I manage to gather some tweets that are tagged as neutral but there are less tweets than positive and negative.My thinking is to tag them with 0.5 to balance the classification probability.Is this legit?
