Leverage large language models for text classification, named entity recognition, sentiment analysis, and other NLP annotation tasks.
NLP Tasks Suitable for LLM Pre-Labeling
- Text Classification - Topic, intent, category assignment
- Named Entity Recognition (NER) - Extract people, places, organizations
- Sentiment Analysis - Positive, negative, neutral classification
- Relation Extraction - Identify relationships between entities
- Text Summarization - Generate summaries for annotator review
Prompt Engineering for Annotation
Provide clear instructions and examples in your LLM prompts. Include your label schema, edge case guidelines, and format requirements for consistent output.
Important: LLM outputs always require human review. Accuracy varies by task complexity, domain specificity, and prompt quality.