Interval-Valued Feature Selection for Classification of Text Documents.
N. Vinay KumarK. SwarnalathaD. S. GuruBasavaraj S. AnamiPublished in: ISDA (2020)
Keyphrases
- text documents
- text classification
- feature selection
- text categorization
- interval valued
- classification accuracy
- text mining
- machine learning
- topic models
- information extraction
- bag of words
- feature space
- support vector machine
- support vector
- feature extraction
- naive bayes
- feature set
- pattern recognition
- n gram
- keywords
- wordnet
- knn
- labeled data
- partially ordered
- unsupervised learning
- fuzzy sets
- data mining
- decision trees
- training set
- k nearest neighbor
- named entities
- artificial intelligence
- training data