The article introduces a new method called Fuzzy WordNet-based document representation and clustering using regularised K-means to improve how documents are grouped together. The goal is to make document clustering more accurate and faster without needing a lot of prior knowledge. By testing this method on different datasets, the researchers found that it outperformed other existing methods in terms of quality and speed of clustering. This means that the new method can help organize and label documents more effectively, even without knowing much about the content beforehand.