Data Science Intern - Sentiment Data Labeling and Classification
During my Data Science Internship, I implemented machine learning models for sentiment analysis using Natural Language Processing techniques. I labeled and classified product reviews as positive, negative, or neutral to train and validate sentiment analysis models. The role involved hands-on experience in building and improving datasets for AI model training. • Labeled textual product review data by sentiment category. • Used Python, Scikit-learn, and NLP libraries to prepare and classify data. • Developed and validated text classification models for sentiment prediction. • Ensured data quality and consistency through rigorous analysis.