NCA-GENL - Data Analysis and Visualization - Section 4.5

Use transformer models for text classification and named-entity recognition.

Use pre-trained transformer models for text classification tasks such as sentiment analysis and topic labelling, and for named-entity recognition (NER) tasks that tag spans as people, locations, or organisations. Distinguish the fine-tuning objectives for sequence-level classification versus token-level NER, and evaluate results with precision, recall, and F1.

Text classificationNER

More in this domain

Back to all Data Analysis and Visualization objectives, or the NCA-GENL cert hub.

Examworthy is not affiliated with or endorsed by NVIDIA. Original, blueprint-aligned practice material only.