Making the Most of Crowdsourced Document Annotations: Confused Supervised LDA.
Paul FeltEric K. RinggerJordan L. Boyd-GraberKevin D. SeppiPublished in: CoNLL (2015)
Keyphrases
- topic discovery
- latent dirichlet allocation
- latent topics
- topic models
- latent dirichlet
- keywords
- linear discriminant analysis
- topic modeling
- face recognition
- semi supervised
- information retrieval
- lda model
- latent semantic analysis
- document images
- discriminant analysis
- information retrieval systems
- text documents
- document classification
- low quality
- unsupervised learning
- retrieval systems
- feature selection
- document collections
- generative model
- relevance feedback
- discriminant projection
- relevant documents
- web documents
- dimensionality reduction
- text mining
- metadata
- feature space
- video annotation
- learning algorithm
- statistical topic models
- supervised dimensionality reduction
- support vector
- cf loadingtexthtml
- unsupervised methods
- document clustering
- information extraction
- relevance assessments
- subspace methods
- principal component analysis
- semantic annotation