Annotated Dataset for Sentiment Analysis Project
For the Sentiment Analysis dataset annotation project, I created and refined a labeled dataset of 10,000 text entries to train machine learning models. I improved annotation accuracy through iterative feedback and collaboration with the development team. Automation techniques were employed to reduce manual review time and enhance consistency. • Labeled large volumes of data entries for sentiment classification tasks. • Developed Python scripts for automated quality checks and data cleaning. • Participated in annotation accuracy reviews and updates. • Ensured deliverables met project and data quality standards.