At the beginning of July, I created a new Instagram account: _art_minis. And for 31 days I posted a new picture each afternoon. All of these pictures were created using the same basic shapes following the rules set out here.
It was interesting to see, how despite their similarities some pictures scored substantially more likes than others. One thing that was abundantly clear from the start was that using many popular hashtags significantly increased my chances of getting likes. Every Instagram guide will tell you that.
What I am interested in is whether there is a way to forecast how many likes a given picture might get. I’m planning on writing a little application to download hashtags and likes for each image and analyze the dataset for correlations. This would be an interesting opportunity to try out Azure Machine Learning and Cognitive Services.