Data Annotation (Text Sentiment & Intent)
OtherTextClassification
Labeled text data to support sentiment analysis and intent recognition for NLP model training. Ensured data quality by cleaning and validating text samples prior to annotation. Followed established guidelines to achieve consistent, reliable results. • Classified texts based on sentiment and user intent
• Improved text datasets through cleaning and error removal
• Maintained annotation accuracy through peer review
• Contributed to documentation of text annotation processes
Labeled text data to support sentiment analysis and intent recognition for NLP model training. Ensured data quality by cleaning and validating text samples prior to annotation. Followed established guidelines to achieve consistent, reliable results. • Classified texts based on sentiment and user intent • Improved text datasets through cleaning and error removal • Maintained annotation accuracy through peer review • Contributed to documentation of text annotation processes
2022 - 2024