Jihong Ouyang

Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs

2016 · International Conference on Computational Linguistics

Gaussian LDA integrates topic modeling with word embeddings by replacing discrete topic distribution over word types with multivariate Gaussian distribution on the embedding space. This can take semantic information of words into account. However, the …

Supervised topic models with weighted words: multi-label document classification

2018 · Frontiers of Information Technology & Electronic Engineering

Supervised topic modeling algorithms have been successfully applied to multi-label document classification tasks. Representative models include labeled latent Dirichlet allocation (L-LDA) and dependency-LDA. However, these models neglect the class frequency information of words (i.e., the …