Topic modeling comprises a set of machine learning algorithms that allow topics to be extracted from collection documents. These have been widely used in many areas, such as the identification dominant scientific research. However, works addressing problems often focus on identifying static topics, providing snapshots are unable show how those evolve over time. Aiming close this gap, article, w...