Objectives: This work focuses on creating targeted content-specific topicbased clusters. They can help users to discover the topics in a set of documents information more efficiently. Methods/Statistical analysis: The Non-negative Matrix Factorization (NMF) based models learn by directly decomposing term-document matrix, which is bag-of-word matrix representation text corpus, into two low-rank ...