
Visuals via Python Seaborn
This is my playground where I dig into questions that float to my mind during the day #showerthoughts. I'm passionate about using data to answer these questions and the topics can range across social media trends, stock prices and cultural icons.
My analyses are powered by Instagram, Youtube, Twitter, Reddit, Google Reviews, Telegram as data sources.
Visuals via Python Seaborn
SpaCy Entity Recognition on Youtube Community
Sentiment Analysis on Reddit threads
Word2Vec to embed Youtube Live Chat data, t-SNE and PCA to visualise embeddings
Retraining GloVe model with embeddings generated from Youtube comments
Correlation analysis between tweet popularity and TSLA stock price
K Means Clustering on Google Reviews
spaCy Entity Recognition on Straits Times Telegram