Exploring, Labeling, and Cleaning Text Data with Atlas
Do you have a massive dataset of text documents that needs to be labeled and cleaned? If so, you’re not alone. Many organizations are struggling to manage and make sense of their text data. The task can be daunting, but thankfully, there’s a solution.
Atlas is an embedding database that makes it easy to explore, label, and clean massive datasets of text documents. In this walk through, you’ll learn how to use Atlas to quickly clean a large dataset of unstructured text.
Atlas is a powerful tool that can help you make sense of your text data and unlock insights that would otherwise remain hidden. You’ll learn how to explore, label, and clean your data, and then use the insights you’ve gained to improve your decision making.
You’ll also learn some best practices for labeling and cleaning data, as well as how to use Atlas to quickly identify patterns in your data.
You don’t have to be an expert data scientist to take advantage of Atlas. In this walk through, you’ll learn how to use Atlas to quickly and easily explore, label, and clean massive datasets of text documents.
If you’re looking for an efficient way to manage and make sense of your text data, this video is for you. Check out the video to learn how to explore, label, and clean massive datasets of text documents using Atlas.