Data Analysis & Machine Learning — Sentiment Analysis System
Developed and implemented a sentiment analysis system for classifying social media text data regarding campus retail trading. Managed preprocessing, labeling, and analysis of textual datasets to support machine learning models. Documented the machine learning pipeline and presented model evaluation for academic purposes. • Used Python with spaCy and scikit-learn for text processing and sentiment analysis. • Labeled text data with sentiment categories for model training and evaluation. • Ensured data quality by conducting validation and error-checking of labeled samples. • Contributed findings to the academic assessment of the system.