Does deep learning help topic extraction? A kernel k-means clustering method with word embedding.
Yi ZhangJie LuFeng LiuQian LiuAlan L. PorterHongshu ChenGuangquan ZhangPublished in: J. Informetrics (2018)
Keyphrases
- deep learning
- topic extraction
- text analysis
- document classification
- document clustering
- topic modeling
- unsupervised learning
- machine learning
- blog entries
- latent dirichlet allocation
- weakly supervised
- n gram
- co occurrence
- mental models
- information extraction
- feature space
- multiscale
- text documents
- topic models
- question answering
- generative model
- text mining
- support vector