More tasks, such as labeling parts of speech (like nouns, verbs, subjects, etc.), labeling key phrases or words in a text for named entity recognition (ner) or to summarize a long article or research paper in a few hundred words all come under annotating text.Ī Comprehensive Guide to Named Entity Recognition (NER) () In text classification, annotating text would mean looking at sentences and marking them, putting each in predefined categories like labeling online reviews as positive or negative, or news clippings as fake or real. This can be likened to the task of labeling cats and dogs in several images for image classification. In the data science world, annotating text is a process that requires a deep understanding of both the problem at hand and the data itself to identify relevant features and label them so. ![]() The labeled data ensures that a supervised machine learning algorithm can accurately interpret and understand the data. It refers to the systematic process of labeling pieces of text to generate a ground-truth. In the context of machine learning, the term takes on a slightly different meaning. annotations) before passing it on for corrections. This practice is commonly seen when editors review a draft, adding notes or useful comments (i.e. Traditionally, text annotation involves adding comments, notes, or footnotes to a body of text. ![]()
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