LDA v. LSA: A Comparison of Two Computational Text Analysis Tools for the Functional Categorization of Patents.
Toni CvitanicBumsoo LeeHyeon Ik SongKatherine FuDavid RosenPublished in: ICCBR Workshops (2016)
Keyphrases
- text analysis
- topic discovery
- latent semantic analysis
- text documents
- text mining
- text categorization
- latent dirichlet allocation
- information retrieval
- information extraction
- topic models
- natural language processing
- principal component analysis
- feature extraction
- text collections
- object recognition
- probabilistic model
- real world
- linear discriminant analysis
- face recognition
- artificial intelligence