Drawing openness to experience from user generated contents: An interpretable data-driven topic modeling approach.
Yishi ZhangHaiying WeiYaxuan RanYang DengDan LiuPublished in: Expert Syst. Appl. (2020)
Keyphrases
- topic modeling
- data driven
- user generated content
- topic models
- latent dirichlet allocation
- text classification
- collaborative filtering
- text mining
- modeling framework
- opinion mining
- scientific articles
- social media
- topic extraction
- text documents
- latent topics
- text corpora
- probabilistic model
- information retrieval
- generative model
- probability distribution
- probabilistic latent semantic analysis
- bayesian networks