Predicting Social Media Engagement using Machine Learning
This research collects image posts of furniture firms on Facebook and extracts visual, temporal, and textual features from them using text and image analytics methods and evaluates several machine learning models to assess the drivers and the prediction power of social media engagement using the features from the data.