AI Data Labeling and Text Classification Project
TextClassification
This project involved labeling and organizing text data to help train an artificial intelligence model for natural language processing tasks. The work included reviewing text samples, categorizing them based on sentiment (positive, negative, or neutral), and verifying the accuracy of AI-generated responses. The labeled dataset was used to improve the model’s ability to understand and classify human language more accurately.
This project involved labeling and organizing text data to help train an artificial intelligence model for natural language processing tasks. The work included reviewing text samples, categorizing them based on sentiment (positive, negative, or neutral), and verifying the accuracy of AI-generated responses. The labeled dataset was used to improve the model’s ability to understand and classify human language more accurately.
2025 - Present