Text Annotation vs. Text Labelling: What Sets Them Apart in NLP? | Data Management Solutions | Scoop.it
From vocal.media - March 5, 1:43 AM
In natural language processing (NLP), text annotation and labeling are essential tasks serving distinct purposes. Annotation adds detailed information to text, aiding tasks like sentiment analysis and named entity recognition. But labeling categorizes text, aiding tasks like spam detection and topic modeling. 

 Discover more about the differences between Text Annotation and Text Labeling by exploring our insightful blog. Gain a comprehensive understanding of these concepts and learn how they differ in the context of NLP.