Tagtog

tagtog is an efficient text annotation tool designed to train AI models. It is available on both the Cloud and on-Premises, making it accessible to a wide range of users. With tagtog, users can manually annotate text, create custom annotation layouts, and even use automatic annotations to speed up the annotation process. The tool also allows users to train their own AI models and retrieve relevant insights from text automatically. Additionally, tagtog supports team collaboration, providing features such as annotation guidelines, version control, and task distribution. Whether you're a technical expert or a casual user, tagtog offers a user-friendly interface and powerful features to enhance your AI training experience.

Key Features:

1. Manual Text Annotation: tagtog provides a text annotation editor that allows users to easily annotate and normalize entities, add entity labels, and create relations. The user interface is intuitive and adapts to the user's needs, ensuring a seamless annotation experience. Users can also collaborate with others, annotate the same text, and export annotations to JSON format.

2. Automatic Text Annotation: To speed up the annotation process, tagtog offers automatic annotations. Users can utilize pre-selections, dictionaries, or even plug in their own ML models. The tool uses NLP algorithms to generate automatic annotations, and users can make corrections to improve accuracy. This feature significantly reduces the workload for annotators.

3. Training AI Models: With tagtog, users can easily create training data to feed their AI models. The tool supports collaborative annotation, allowing users to invite others to share the annotation effort. Users can also import their model's predictions to tagtog and use the annotation editor to correct any wrong predictions. The user interface is designed to minimize annotator's effort while maximizing input for the model. This iterative process helps users fine-tune their AI models effectively.

Use Cases:

• Manual text annotation: tagtog is ideal for annotating text in various domains, such as medical records, legal documents, or customer feedback. It allows domain experts to annotate entities, add labels, and create relations, making it easier to extract valuable information from text.

• Automatic text annotation: When dealing with large volumes of text, tagtog's automatic annotation feature can save time and effort. It can be used to speed up the annotation process for tasks like sentiment analysis, named entity recognition, or topic classification.

• Training AI models: tagtog provides a collaborative environment for training AI models. Users can easily create training data, invite team members to annotate, and fine-tune their models based on corrected annotations. This makes it easier to develop accurate and efficient AI models for various applications.

Conclusion:

tagtog is a powerful text annotation tool that offers a range of features to train AI models effectively. Whether you need to manually annotate text, utilize automatic annotations, or train your own AI models, tagtog provides a user-friendly interface and intuitive functionalities. With its collaborative capabilities and support for team collaboration, tagtog is an ideal tool for both technical experts and casual users looking to enhance their AI training experience.