Distributed Document and Phrase Co-embeddings for Descriptive Clustering.
Motoki SatoAustin J. BrockmeierGeorgios KontonatsiosTingting MuJohn Yannis GoulermasJun'ichi TsujiiSophia AnaniadouPublished in: EACL (1) (2017)
Keyphrases
- document clustering
- clustering algorithm
- clustering method
- keywords
- k means
- cluster membership
- cooperative
- document content
- document images
- distributed systems
- text clustering
- hierarchical clustering
- document classification
- peer to peer
- information retrieval
- distributed environment
- unsupervised learning
- document collections
- categorical data
- high dimensional data
- information retrieval systems
- text mining
- cluster analysis
- topic discovery
- fuzzy clustering
- document retrieval
- vector space
- web documents
- low dimensional
- dimensionality reduction
- multi agent
- spectral clustering
- euclidean space
- retrieval systems
- tf idf
- document representation
- noun phrases
- syntactic analysis
- data points
- tolerance rough set
- query based sampling