Much of human knowledge in cybersecurity is encapsulated within the ever-growing volume of scientific papers. As this textual data continues to expand, the importance of document organization methods becomes increasingly crucial for extracting …
Topic modeling is one of the key analytic techniques for organizing and analysis of large text corpora. One approach to topic modeling is the recently introduced SeNMFk, a method based on semantic non-negative matrix factorization (NMF) with …
As the amount of text data continues to grow, topic modeling is serving an important role in understanding the content hidden by the overwhelming quantity of documents. One popular topic modeling approach is non-negative matrix factorization (NMF), …