Prototype Theory Meets Word Embedding: A Novel Approach for Text Categorization via Granular Computing.
Enrico De SantisAntonello RizziPublished in: Cogn. Comput. (2023)
Keyphrases
- text categorization
- granular computing
- rough sets
- term frequency
- term weighting
- distributional clustering
- feature selection
- document frequency
- multi label
- information processing
- knn
- rough set theory
- reuters corpus
- text classification
- text documents
- information gain
- word frequency
- soft computing
- k nearest neighbor
- fuzzy sets
- semi supervised learning
- text classifiers
- automatic text categorization
- n gram
- approximation spaces
- data mining
- tf idf
- information theoretic
- co occurrence
- pairwise
- support vector
- database
- feature selection for text categorization
- wordnet
- nearest neighbor
- artificial intelligence
- feature selections