assisted annotation

1 – manual annotation

Start as in any other project by annotating from scratch or simply import an existing project from another annotation software. While you annotate, our AI learns to replicate your manual annotation behavior to suggest annotations for all non-annotated text segments.

2 – review AI-suggested annotations

To check the AI’s suggestions efficiently, we provide a specialized view where you can easily focus on the suggested annotations and filter and sort them. If you prefer to read the entire documents, it will always be clear which annotations were created by the AI and which ones by you. Found an incorrect suggestion? Simply adjust the code, and our AI will learn from this as well and get better and better.

3 – automatic annotation

Once enough annotations have been added, checked, or corrected, our technology’s suggestions become so precise that no more manual work is required at all. At the user’s request, our tool can then annotate all remaining text on its own. Of course, it will always be transparent which annotations were made by you and which by the AI.

keyword assistant

The assistant will automatically annotate all sentences containing your keywords and even offers two possibilities to deal with potentially wrong assignments: You can either review all keyword-based annotations or you can tell Assisted Annotation that it should learn from the keywords, but that there is a chance not all keyword annotations are correct. 

relevance assistant

(in development)

Easily find texts and passages that are relevant to your annotation project, i.e., likely to receive many and diverse annotations and make your annotion process even more efficient by skipping the unrelevant text parts. 

code assistant

(in development)

Let the code assistant help you to improve your coding system by suggesting which codes to merge, split, or even create based on the content of your data.