The system for recognizing and extracting adverse events uses state of the art machine learning algorithms to identify genuine adverse event reports buried in user comments. These classification tools require human labels to improve performance. The more labels the better. If you are interested in taking some time to label content, please create a new account, and access our labeling interface. There is no obligation to label with a new account, we only require you are logged in so that we can map your labels to your user id. Any time you spend labeling will help improve our classification techniques and allow us to build even better reports.

Your email and other personal information will be kept completely confidential, and we will only use your email for rare and important communications.

When you have registered click "Access Labeler" at the top right of the screen to begin labeling. If there is a certain drug you are interested in labeling posts for, there is a search box in the labeling interface.