Using unsupervised clustering approach to train the Support Vector Machine for text classification.
Niusha ShafiabadyLam Hong LeeRajprasad RajkumarV. P. KallimaniNik Ahmad AkramDino IsaPublished in: Neurocomputing (2016)
Keyphrases
- unsupervised clustering
- text classification
- support vector machine
- feature selection
- supervised classification
- machine learning
- knn
- k nearest neighbor
- text categorization
- clustering method
- k means
- image segmentation
- multi class
- semi supervised clustering
- naive bayes
- text mining
- bag of words
- support vector
- clustering algorithm
- text documents
- svm classifier
- unsupervised learning
- labeled data
- hyperplane
- n gram
- support vector machine svm
- training data
- kernel function
- active learning
- document clustering
- multi label
- data mining
- feature space
- training set
- feature vectors
- decision boundary
- neural network
- fuzzy c means
- spectral clustering
- feature extraction
- reinforcement learning
- semi supervised learning
- natural language