GLTM: A Global and Local Word Embedding-Based Topic Model for Short Texts.
Wenxin LiangRan FengXinyue LiuYuangang LiXianchao ZhangPublished in: IEEE Access (2018)
Keyphrases
- topic models
- latent topics
- short text
- short texts
- latent dirichlet allocation
- topic modeling
- co occurrence
- word pairs
- latent variables
- text mining
- text documents
- statistical topic models
- generative model
- bag of words
- relevance model
- n gram
- probabilistic model
- query words
- vector space
- text corpora
- machine learning
- knowledge discovery
- active learning
- high dimensional