VisuaLexNER

What is VisuaLexNER ?

VisuaLexNER is a powerful tool designed to help users explore and annotate datasets for machine learning. It is particularly tailored for Named Entity Recognition (NER) tasks, making it easier to create and manage high-quality training data. With VisuaLexNER, users can streamline the process of dataset creation, ensuring their data is well-organized and suitable for building accurate machine learning models.

Features

• Text Data Import: Upload and manage text data from various sources, including CSV and JSON files.
• Entity Annotation: Easily label entities in your text data with predefined categories or customize your own.
• Active Learning Integration: Leverage active learning techniques to prioritize data points that maximize model performance.
• Data Visualization: Gain insights into your dataset through interactive visualizations.
• Multi-Dataset Support: Work with multiple datasets simultaneously and switch between them seamlessly.
• Collaboration Tools: Invite team members to collaborate on dataset creation and annotation.
• Export Capabilities: Export your annotated data in formats compatible with popular machine learning frameworks.

How to use VisuaLexNER ?

1. Import Your Data: Begin by importing your text data into VisuaLexNER through the user-friendly interface.
2. Select Entity Labels: Choose the predefined entity labels or create custom ones based on your project requirements.
3. Annotate Text: Use the intuitive annotation interface to label entities in your text data.
4. Review and Visualize: Review your annotations and visualize the dataset to ensure accuracy and consistency.
5. Export for ML: Once satisfied with your annotations, export the dataset in the desired format for use in your machine learning pipeline.

Frequently Asked Questions

What file formats does VisuaLexNER support for data import?
VisuaLexNER supports CSV, JSON, and plain text files for data import.

How are annotations exported from VisuaLexNER?
Annotations are exported in a structured format (e.g., JSON or CSV) with labeled entities clearly identified.

Can VisuaLexNER be used by teams for collaborative projects?
Yes, VisuaLexNER offers collaboration tools, allowing multiple users to work together on dataset creation and annotation.