TextCSN: a semi-supervised approach for text clustering using pairwise constraints and convolutional siamese network.
Lucas Akayama VilhagraEraldo Rezende FernandesBruno Magalhães NogueiraPublished in: SAC (2020)
Keyphrases
- pairwise constraints
- semi supervised
- text clustering
- document clustering
- metric learning
- semi supervised clustering
- pairwise
- semi supervised learning
- labeled data
- unlabeled data
- spectral clustering
- clustering algorithm
- background knowledge
- active learning
- text categorization
- text mining
- distance metric
- unsupervised learning
- vector space model
- document representation
- loss function
- supervised learning
- k means
- machine learning
- text documents
- generative model
- clustering quality
- feature selection