Semantic Text Classification & Sentiment Analysis Dataset
Participated in an academic research project focused on creating a high-quality labeled dataset for NLP model training. Classified and tagged thousands of text samples according to semantic categories and sentiment labels. Performed detailed linguistic analysis and error detection to ensure dataset accuracy and reliability. Collaborated with research teams to refine annotation guidelines and resolve ambiguous edge cases.