Text Labeler – ITI Training Project
Developed and tested a social media interaction analysis platform with labeled comment and reaction categories. Classified user comments and reactions using structured, multi-class labeling approaches. Ensured integrity and completeness of labeled text data for backend analysis. • Designed label schema for interaction categories. • Annotated and validated comment and reaction types. • Focused on consistency and edge case coverage in labeled data. • Integrated labeling with backend systems for production workflow.