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At the point when we started this project, election week is coming up. There was so much excitement in the air on who is the next US president to be elected. There were thousands of articles on who's leading the polls. The US election has been trending on most, if not all, social media platforms. Being Data scientists, we wonder if it would be p…
We use the BERT language model for Twitter sentiment analysis leading to the US 2020 presidential elections. We investigate if sentiment analysis can provide an indication of the outcome of the results using canonical LSTM and BERT language model.
In this project, we take a deep dive into Trump and Biden’s Twitter followers. By utilizing data visualization techniques, entropic analysis, and machine learning modeling, we investigate the polarization between Trump and Biden followers, predict who a Twitter user is most likely to follow based on the accounts they follow, and analyze other si…