Instagram Post Data Analysis
This work addresses the problem of optimizing social media engagement for users by leveraging location-based data, but it is incremental as it applies standard analysis techniques to a specific platform.
The project analyzed Instagram data to understand how filter usage and hashtags relate to location and likes, providing filter suggestions for maximizing likes based on location and revealing cultural differences through hashtag analysis.
Because of the spread of the Internet, social platforms become big data pools. From there we can learn about the trends, culture and hot topics. This project focuses on analyzing the data from Instagram. It shows the relationship of Instagram filter data with location and number of likes to give users filter suggestion on achieving more likes based on their location. It also analyzes the popular hashtags in different locations to show visual culture differences between different cities.