Particle Swarm Optimization Based Two-Stage Feature Selection in Text Mining.
Xiaohan BaiXiaoying GaoBing XuePublished in: CEC (2018)
Keyphrases
- text mining
- particle swarm optimization
- feature selection
- text classification
- pso algorithm
- machine learning
- text categorization
- text documents
- global optimization
- multi objective
- natural language processing
- document clustering
- information extraction
- textual documents
- mutual information
- text clustering
- particle swarm optimization algorithm
- particle swarm optimization pso
- web mining
- information retrieval
- feature space
- convergence speed
- biomedical literature
- high dimensionality
- swarm intelligence
- feature selection algorithms
- dimensionality reduction
- data analysis
- particle swarm
- feature ranking
- method for feature selection
- textual data
- feature weighting
- data mining
- multi class
- knowledge discovery
- classification accuracy
- topic models
- unsupervised feature selection
- naive bayes
- inertia weight
- feature set
- artificial intelligence
- support vector machine
- discriminative features
- support vector
- data sets
- microarray data
- genetic algorithm
- selected features
- unsupervised learning
- information gain
- feature subset
- named entities