Using micro-documents for feature selection: The case of ordinal text classification.
Stefano BaccianellaAndrea EsuliFabrizio SebastianiPublished in: Expert Syst. Appl. (2013)
Keyphrases
- text classification
- feature selection
- text documents
- document classification
- text classifiers
- labeled documents
- text categorization
- text data
- training documents
- document categorization
- term frequency
- naive bayes
- bag of words
- training corpus
- document representation
- text mining
- classify documents
- document collections
- distributional clustering
- document clustering
- multi label
- information retrieval
- feature space
- feature weighting
- labeled data
- supervised feature selection
- feature engineering
- xml documents
- classification accuracy
- sentiment classification
- knn
- semantic information
- web documents
- sentiment analysis
- document retrieval
- n gram
- machine learning
- feature set
- information retrieval systems
- unlabeled data
- feature reduction
- keywords
- metadata
- relevant documents