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GLiNER-Multiv2.1 is an AI-powered text analysis tool designed to identify and categorize named entities within unstructured text. It operates across multiple languages, making it a versatile solution for diverse datasets. The tool is optimized for accuracy and efficiency, providing reliable results for various text analysis tasks.
• Multilingual Support: Processes text in multiple languages, enabling global applicability.
• High Accuracy: Advanced algorithms ensure precise entity recognition.
• Customizable: Users can define custom entity categories.
• Scalability: Handles large volumes of text efficiently.
• Integration-Friendly: Compatible with various data formats and workflows.
What languages does GLiNER-Multiv2.1 support?
GLiNER-Multiv2.1 supports a wide range of languages, including English, Spanish, French, Mandarin, and many others.
Can I customize the entity categories?
Yes, GLiNER-Multiv2.1 allows users to define custom entity categories to suit specific requirements.
What file formats are supported?
The tool works with common text formats, including .txt, .csv, and .json, ensuring flexibility for different workflows.