Supervised Hebb rule based feature selection for text classification.
Heyong WangMing HongPublished in: Inf. Process. Manag. (2019)
Keyphrases
- text classification
- feature selection
- supervised feature selection
- text categorization
- unsupervised learning
- bag of words
- naive bayes
- classification accuracy
- machine learning
- labeled data
- expert systems
- text documents
- feature space
- mutual information
- feature extraction
- unsupervised feature selection
- text data
- n gram
- unlabeled data
- semantic features
- dimensionality reduction
- feature weighting
- data cleaning
- term frequency
- selected features
- feature selection algorithms
- multi label
- rule base
- feature subset
- sentiment analysis
- support vector
- feature engineering
- knn
- model selection
- feature set
- text classifiers
- supervised learning
- text classification tasks
- labeled and unlabeled data
- training documents
- data sets
- web page classification
- multi task
- data points
- semi supervised
- support vector machine