Datasaur Basics

Data labeling is a key step in training supervised learning AI algorithms. There are three main components for labeling data: the data to be labeled, the label set (sometimes referred to as the ontology or taxonomy), and the people who perform the labeling (sometimes referred to as labelers, taggers or annotators).

Datasaur is a web-based software platform that allows you to upload the data, apply the labels and collaborate with your labeling team. We focus on improving efficiency and quality and ensuring data security.

Datasaur supports the most common forms of Natural Language Processing (NLP) labeling:

• ​Named Entity Recognition​

• ​Part of Speech​

• ​Coreference​

• ​Dependency​

• ​Document Labeling​

• ​Optical Character Recognition​

In addition to providing a performant interface for all the above, we leverage state of the art intelligence to help automate some of your labeling work. We also provide team management capabilities and a powerful label review tool for QA.

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