Student research: Sentiment Analysis
Produced academic sentiment-analysis research using Python in Google Colab as part of education and publication activities. Worked on correlation analysis of stock price vs public sentiment in the automotive industry and presented findings at a data science conference. This involved preparing and analyzing textual sentiment data to support the research conclusions. • Published a journal on correlation analysis between stock price and public sentiment. • Performed sentiment analysis using Python on Google Colab. • Presented the work at ICoDSA in 2021. • Analyzed relationships between sentiment signals and market outcomes.