Explore the innovative Self-Service Classification solution in this 31-minute conference talk by Shai Hertz at WeAreDevelopers. Learn how to empower non-technical users to train and deploy machine learning classifiers for identifying complex topics in large unstructured document sets. Discover a framework that minimizes data collection efforts, provides quick initial model training, and offers interactive tuning capabilities. Understand the workflow that simplifies the data collection process, including techniques to identify relevant document areas, build effective queries, and automatically distinguish between positive and negative examples. Gain insights into how this system enables domain experts to create topic classifiers efficiently, expanding topic tagging capabilities for organizations like Thomson Reuters.