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Automating Large-scale Annotation for Analysis of Social Media Content Katie Kuksenok, Michael Brooks, John J. Robinson, Daniel Perry, Megan K. Torkildson, Cecilia AragonUniversity of Washingtonkuksenok,
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Automating large-scale annotation is for automatically labeling or tagging a large amount of data for machine learning purposes.
Companies or organizations that are utilizing large-scale annotation for machine learning projects are required to file automating large-scale annotation.
Automating large-scale annotation can be filled out by providing information about the data being annotated, the annotation tools used, and the purpose of the annotation.
The purpose of automating large-scale annotation is to streamline the process of labeling large datasets for machine learning algorithms.
Information such as the type of data being annotated, the tools used for annotation, and the results of the annotation process must be reported on automating large-scale annotation form.
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