Sep 12, 2018 · Topic modeling is a mainstream and effective technology to deal with text data, with wide applications in text analysis, natural language, ...

It uses the stochastic variational inference as the learning method to make the training procedure more rapid and efficient, and a parallel computing mechanism ...

It uses the stochastic variational inference as the learning method to make the training procedure more rapid and efficient, and a parallel computing mechanism ...

Moreover, its good convergence and online training capacity make it lucrative for the large-scale text data analyzing and processing. Keywords topic modeling, ...

Stochastic variational inference-based parallel and online supervised topic model for large-scale text processing. JOURNAL OF COMPUTER SCIENCE AND ...

It uses the stochastic variational inference as the learning method to make the training procedure more rapid and efficient, and a parallel computing mechanism ...

Bibliographic details on Stochastic Variational Inference-Based Parallel and Online Supervised Topic Model for Large-Scale Text Processing.

Li Y, Song W, Yang B. Stochastic Variational Inference-Based Parallel and Online Supervised Topic Model for Large-Scale Text Processing// Journal of Computer ...

Stochastic Variational Inference-Based Parallel and Online Supervised Topic Model for Large-Scale Text Processing. Yang Li, Wen-Zhuo Song, Bo Yang. Published ...

We propose in this paper, a new model that operates in online fashion with BL (Beta-Liouville) prior due to its flexibilities in topic correlation analysis.