2 papers
cs.CL2023
Topic model based on co-occurrence word networks for unbalanced short text datasets
Chengjie Ma, Junping Du, Meiyu Liang +1
We propose a straightforward solution for detecting scarce topics in unbalanced short-text datasets. Our approach, named CWUTM (Topic model based on co-occurrence word networks for…
cs.LG2023
Federated Topic Model and Model Pruning Based on Variational Autoencoder
Chengjie Ma, Yawen Li, Meiyu Liang +1
Topic modeling has emerged as a valuable tool for discovering patterns and topics within large collections of documents. However, when cross-analysis involves multiple parties, dat…