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Best Practices & Tools for Accurate Document Annotation and Data Abstraction

Are you working on machine learning tasks such as sentiment analysis, named entity recognition, text classification, image classification or audio segmentation? If so, you need training data adapted for your particular domain and task.

This webinar will explain the best practices and strategies for getting the training data you need. We will go over the setup of the annotation team, the workflows that need to be in place for guaranteeing high accuracy and labeler agreement, and the tools that will help you increase productivity and eliminate errors.

John Snow Labs’ Data Annotator & Active Learning for Human-in-the-loop AI is now included with all subscriptions

The Data Annotator & Active Learning enables human experts to efficiently label text, image, audio & video data for training AI models with...