Description: I performed sentiment analysis over twitter data related to the war in Ukraine to find out trends and aggregates in the public's feelings on the subject. The main tools I used were GCP products, namely BigQuery, Google Cloud Storage, VertexAI, and Looker Studio. I also used Python and Jupyter to clean the data and explore it.
upload-twitter-data.py: for exploring the raw csv data in GCS and moving it into different directories for export to BigQuery
sentiment_analysis.pdf: VertexAI Workbench where I go over some details of the project and implement sentiment analysis
Ukraine_Twitter_Data_Report.pdf: Looker Studio Dashboard of my overall findings
slides.pdf: the slides I use during my video presentation