Approach for Multi-Label Text Data Class Verification and Adjustment Based on Self-Organizing Map and Latent Semantic Analysis.
Pavel StefanovicOlga KurasovaPublished in: Informatica (2022)
Keyphrases
- multi label
- self organizing maps
- text data
- text classification
- latent semantic analysis
- text categorization
- unsupervised learning
- text mining
- text documents
- co occurrence
- graph cuts
- neural network
- image classification
- information retrieval
- document clustering
- bag of words
- document collections
- input data
- singular value decomposition
- high dimensional
- high dimensional data
- structured data
- machine learning
- labeled data
- k means
- unlabeled data
- pairwise
- image segmentation
- em algorithm
- principal component analysis
- named entities
- support vector
- multiscale