Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information

Shijing Si, Jianzong Wang, Ruiyi Zhang +2

Non-negative matrix factorization (NMF) based topic modeling is widely used in natural language processing (NLP) to uncover hidden topics of short text documents. Usually, training…