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Data Annotation
Understanding data
Labeling your data for better digestion by AI systems.
Data annotation or labeling is the tagging of language data in text or spoken form. Through annotation, you can identify linguistic elements within a body of text or audio recording. Adding tags and labels to data helps to improve the predictive accuracy of the models and to provide a better user experience.
Data (NER) tagging
Detecting and tagging predefined entities in a text, such as the names of people, brands, features, locations is very useful for the extraction of information and the training of models.
Classification
With text classification models learn to apply one or more labels to text. It can be used for short pieces of text, headlines or entire texts.
Moderation
The text moderation feature helps flag potentially undesired content such as profanity terms or personal information, allowing you to decide on how to proceed with handling this in your data.