Text Clustering

Text clustering is an important task in natural language processing, aiming to divide a set of texts into several clusters according to a certain similarity measure, so that the similarity between texts within the same cluster is higher than that with texts in other clusters. This method can automatically discover hidden structures in text data, improving the efficiency and accuracy of applications such as information retrieval, document classification, and topic recognition.