Using a Neural Network to Predict Social Media Reactions to the Aesthetic Qualities of an Image
The goal of this project is to build a computational model to predict how many “likes” images will get from users of social media. The model will be trained and tested for accuracy by using data sourced from social networks. This data may be collected automatically with a computer program. This work is intended to help content creators improve their products.