It’s no longer surprising when yesterday’s headline topic is barely mentioned today. As attention shifts faster than ever, it has become increasingly important to quickly identify which topics are gaining attention and whether their momentum will continue or fade. Topic modeling is a useful way to examine these changes. It organizes recurring themes across large collections of documents, and when combined with time, it reveals when topics rise and fall. This allows us to go beyond static lists and understand the direction and speed of topic trends through data. With that in mind, let’s look at real research cases that show how topic growth and decline can be captured in practice.