Multi-Label Text Classification – Adaptive Promptify (NLP)
OtherTextClassification
This project involved designing and building a multi-label NLP text classification model. The work required hands-on labeling of text data and evaluation of classification outputs. The process mirrored data annotation and model output evaluation procedures used by professional annotators and RLHF contributors.
• Labeled and categorized textual data to train multi-label classification models.
• Assessed outputs using precision, recall, and F1-score metrics.
• Gained practical experience in NLP, text annotation, and evaluation methodologies.
• Developed skills in quality assurance and guideline adherence for labeling workflows.
This project involved designing and building a multi-label NLP text classification model. The work required hands-on labeling of text data and evaluation of classification outputs. The process mirrored data annotation and model output evaluation procedures used by professional annotators and RLHF contributors. • Labeled and categorized textual data to train multi-label classification models. • Assessed outputs using precision, recall, and F1-score metrics. • Gained practical experience in NLP, text annotation, and evaluation methodologies. • Developed skills in quality assurance and guideline adherence for labeling workflows.
2024 - 2024