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YUFENG GUO: Natural Language processing is not an easy task. And when it comes to domain-specific language, things get even trickier. Standard pre-trained benchmark models arent always useful in industry-specific applications. So how can we train a text classification system on custom data? Stay tuned to find out. Welcome to AI Adventures, where we explore the art, science, and tools of machine learning. My name is Yufeng Guo. And on this episode, were going to look at how to use AutoML natural language to build a custom text classifier, using a dataset from Stack Overflow. Stack Overflow is an incredibly useful tool. And it has saved me on many occasions. But sometimes it gets tedious tagging questions. And I wish it would automatically generate or at least suggest some tags when posting a question. So today, we will try to build a machine learning model for recommending tags for Stack Overflow questions about machine learning. To get started, were going to need some training data
