Data Annotation & Categorization (Practice Work)
TextClassification
This practice work focused on manual data labeling and categorization of text and content samples. Tasks included classifying content based on tone, intent, and relevance, and ensuring consistency across datasets. Logical reasoning was applied to handle ambiguous data and enhance label quality.
• Labeled and categorized various text samples
• Classified data for tone, intent, and content relevance
• Maintained label consistency and accuracy across data sets
• Used logical analysis in ambiguous data labeling scenarios
This practice work focused on manual data labeling and categorization of text and content samples. Tasks included classifying content based on tone, intent, and relevance, and ensuring consistency across datasets. Logical reasoning was applied to handle ambiguous data and enhance label quality. • Labeled and categorized various text samples • Classified data for tone, intent, and content relevance • Maintained label consistency and accuracy across data sets • Used logical analysis in ambiguous data labeling scenarios
2023 - Present