TEXT ANNOTATION

Text annotation concentrates on adding instructions and labels to raw text. This helps AI to identify and understand how general human sentences and other textual data get structured to form meaning. The three main categories of text annotation that explain the different meanings with data sets are:

Sentiment: In this annotation, a human annotator gathers data for AI while ensuring they consider the emotional tone and subjective implication behind phrases and keywords. Sentiment annotation assists AI in understanding the meaning of texts beyond the dictionary meanings. This kind of annotation is beneficial for AI-powered moderation on social media platforms.

Intent: In intent annotation, the annotator concentrates on labeling the end goal of the user behind distinct statements. Intent annotation offers insight into the domain of customer service where AIpowered chatbots are needed to comprehend specific information or results that are needed to be delivered to a human user.