Text summarization is a way to make long texts shorter and more precise. Researchers have looked into summarizing multiple documents, not just one. They studied different methods like Graph, Cluster, and Term-Frequency to do this. The goal was to compare these methods and see what works best. They found that there are benefits and problems with each approach. This information can help other people who study text data mining to create new ways to summarize multiple documents.