Companies are frequently faced with large amounts of unstructured text data, like forum comments or product reviews. Important trends can emerge in these datasets, but it can be time-consuming to read through comments, and keyword matching frequently misses critical nuances. We’ll discuss how we’ve approached this problem at Google using Natural Language Processing, with examples of the approach applied to open datasets. We’ll explore how this fits into the ML project lifecycle, with examples of common pitfalls. Finally, we’ll highlight how to use this technology as part of a “human in the loop” approach to supercharge your existing team members.