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Know about NER - Spacy and GLiNER
Автор: DataScienceCenter
Загружено: 2025-12-31
Просмотров: 18
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For general-purpose Named Entity Recognition, especially in English, NLTK (or spaCy with its English models) can be a good starting point. However, for precise and comprehensive PII extraction, particularly when dealing with specific, custom categories or multilingual content, GLiNER is significantly more effective and robust. Its advanced architecture allows it to generalize better to unseen entity types and languages, making it a powerful tool for sensitive data identification tasks
Reference: / named-entity-recognition-ner
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