Adding Value to AI Data Processing With Document Annotation

Machine learning algorithms and AI technologies are used to categorize data sets in files and extract data without the need for human intervention. Data annotation allows you to rapidly sift through and discover relevant information. With this, arranging data and training the machine learning models gets streamlined. In terms of data annotation, metadata, tags, display order list and other characteristics can be used to get a more precise understanding of the text in a document. Paper bulks have now taken the form of digital documents and include extensive semantic information that extends beyond the aesthetics of the documents.