•Trained JohnSnowLabs Sentiment Analysis model (87% accuracy) and researched other models
(HuggingFace, VADER, TextBlob, Flair)
– pandas, numpy, pyspark, sparknlp, matplotlib, sklearn
•Explored and replicated studies/research in Sentiment Analysis
•Data pre-processing/cleaning, creating sample datasets, implementing model with Spark
•Observed model performance using Multi-class Classification Metrics (Precision, Recall,
F1-Score), and confusion matrices
•Presented results to technical peers, product owners, analysts as well as non-technical audiences
