Text Classification
I worked on labeling large volumes of customer reviews and survey responses into predefined categories such as positive, negative, and neutral sentiment, along with sub-themes like product quality, delivery, and customer service. This involved interpreting informal language, slang, and mixed sentiments within a single response. I also participated in validation rounds to resolve disagreements and improve annotation consistency across the team.