Approaches to Feature Selection for Document Categorization
Explore this paper's citation graph
Summary
The empirical results done with k-NN and NB classifiers show that the coherence between models in the categorization system can bring benefits for performance.
- Type
- article
- Published
- 2003-01-01
- Cited by
- 1
- References
- 29
- OpenAlex
- https://openalex.org/W12196859
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:9275518
Keywords
Categorization, Feature selection, Computer science, Coherence (philosophical gambling strategy), Selection (genetic algorithm)
References
- A Probabilistic Approach to Feature Selection - A Filter Solution
- Improving Text Classification by Shrinkage in a Hierarchy of Classes
- A comparison of event models for naive bayes text classification
- Text Categorization with Support Vector Machines: Learning with Many Relevant Features
- Experiments on Automatic Web Page Categorization for IR system
- Automated Text Categorization Using Support Vector Machine
- Practical Issues for Automated Categorization of Web Sites
- Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer
- Toward Optimal Feature Selection
- Term-Weighting Approaches in Automatic Text Retrieval
- A study of thresholding strategies for text categorization
- Combining classifiers in text categorization
- CONSTRUE/TIS: A System for Content-Based Indexing of a Database of News Stories
- A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
- An algorithm for suffix stripping
- An Evaluation of Statistical Approaches to Text Categorization
- Concept Indexing: A Fast Dimensionality Reduction Algorithm With Applications to Document Retrieval and Categorization
- An evaluation of phrasal and clustered representations on a text categorization task
- Study of category score algorithms for k-NN classifier
- A Comparative Study on Feature Selection in Text Categorization
Cited by
Related papers
- Survey on Feature Selection for Text Categorization
- A Feature Selection and Classification Technique for Text Categorization
- Document Categorization with MAJORCLUST
- Empirical selection of nlp-driven document representations for text categorization
- Improving Text Categorization by Multicriteria Feature Selection
- Concept-Based Automatic Amharic Document Categorization
- Study of text representation and feature selection for text categorization
- A Novel Statistical Feature Selection Approach for Text Categorization
- Research of Feature Selection in Medical Information Text Categorization