Text Data Annotation for Sentiment Analysis
Conducted text data labeling and preprocessing for sentiment analysis model development. Performed text segmentation, feature extraction, and manual classification to train and evaluate models. Ensured labeled data was versatile for application across e-commerce and social media sentiment analysis scenarios. • Utilized Python and Scikit-learn for annotation workflows • Classified review texts into sentiment categories • Verified label quality and consistency • Adapted data labeling for different industries and platforms