I'm building a Sentiment Prediction model for Tweets that runs on Text, Numerical and Categorical data. I have already two classifiers, one text and one non-text (for numerical and categorical). Now the problem is when I want to combine both classifiers into one. Since my training features aren't the same for both classifiers (Raw tweets for the Text Classifier, and other data like number of followers, presence of hashtag, presence of tags etc for the other classifier).
Basically was wondering if there would be any function in Scikit Learn that would allow to make it work?