An Exploratory Study On The Appropriateness Of Latent Dirichlet Allocation For Automatic Discovery Of Product Associations From User-Generated Content.
Johannes PutzkeKai FischbachDetlef SchoderPublished in: ECIS (2013)
Keyphrases
- automatic discovery
- user generated content
- latent dirichlet allocation
- topic models
- customer reviews
- product reviews
- topic modeling
- social media
- generative model
- topic discovery
- web services
- semantic web services
- variational bayesian inference
- text mining
- lda model
- gibbs sampling
- latent topics
- association rules
- recommender systems
- probabilistic latent semantic analysis
- life cycle
- probabilistic topic models
- hierarchical bayesian model
- latent topic models
- support vector
- wikipedia articles
- natural language
- semi supervised
- information retrieval
- machine learning