Exploiting word embedding for heterogeneous topic model towards patent recommendation.
Jie ChenJialin ChenShu ZhaoYanping ZhangJie TangPublished in: Scientometrics (2020)
Keyphrases
- topic models
- latent topics
- co occurrence
- word pairs
- latent topic models
- topic modeling
- latent dirichlet allocation
- statistical topic models
- text documents
- collaborative filtering
- baseline models
- text mining
- latent variables
- gibbs sampling
- information retrieval
- probabilistic topic models
- recommender systems
- probabilistic model
- probabilistic latent semantic analysis
- vector space
- n gram
- generative model
- tf idf
- word sense disambiguation
- semantic relations
- microblog posts
- text classification