WE-LDA: A Word Embeddings Augmented LDA Model for Web Services Clustering.
Min ShiJianxun LiuDong ZhouMingdong TangBuqing CaoPublished in: ICWS (2017)
Keyphrases
- latent dirichlet allocation
- lda model
- topic discovery
- topic models
- latent topics
- web services
- probabilistic latent semantic analysis
- generative model
- co occurrence
- topic modeling
- text analysis
- gibbs sampling
- dimensionality reduction
- clustering algorithm
- high dimensional data
- k means
- n gram
- text classification
- data points
- feature selection
- low dimensional
- variational inference
- latent variables
- knowledge discovery