Group Projects for the Data Science Fundamentals Course at UvA

This research project presents an outlook over the relationship between geo-spatial sentiment analysis of 2016 USA Elections Tweets and socioeconomic factors for each of the states. Methods are presented for cleaning, exploring, classifying and identifying topics and sentiment on a dataset of Tweets sent to the two candidates. Results are combined and discussed inorder to draw drawing conclusions about how different events shifted the crowd's opinion during the Election Period.

Social media is becoming a major part of social interactions, with billions of posts being created and sent daily. Researchers have leveraged this data and used social media to predict individual well-being, based on text and media. This project presents a research on predicting individual well being based on their posts on Instagram.