This is the code for a simple Spyre web application which conducts text analysis on tweets of the 2016 US presidential candidates.
Find out more about Spyre here.
This was my fourth project for the Metis data science bootcamp.
- NLP (natural language processing) for sentiment analysis
- Amazon Web Services
In addition, I explored other technologies which didn't make it into the final implementation of the app including:
- Topic modeling with LDA (Latent Dirichlet Allocation)
- Clustering (kmeans, DBSCAN, and others)