Data expansion is the most commonly used method to eliminate keyword restrictions. Because ai will be exposed to a large amount of data during training, these data contain many different keywords. If you want ai to understand more keywords, you need to provide more and richer data for training. In this way, when ai processes new information, it can better understand keywords.