Scientific Research
Comprehensive text annotation for Natural Language Processing (NLP). We provide named entity recognition (NER), sentiment analysis, text classification, and relationship extraction to build sophisticated language models.
Key Use Cases
- ✓Sentiment Analysis for Customer Feedback
- ✓Named Entity Recognition (NER) in legal documents
- ✓Chatbot training data
- ✓Content moderation
- ✓Clinical trial data extraction
Benefits
- ✓Enhance NLP model performance
- ✓Extract structured insights from unstructured text
- ✓Support for multiple languages
- ✓Custom ontologies and labeling guidelines