A vector space model for automatic indexing
Communications of the ACM
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
A comparative study on text representation schemes in text categorization
Pattern Analysis & Applications
Information retrieval on Turkish texts
Journal of the American Society for Information Science and Technology
Subspace based feature selection for pattern recognition
Information Sciences: an International Journal
Feature selection with dynamic mutual information
Pattern Recognition
Feature reduction techniques for Arabic text categorization
Journal of the American Society for Information Science and Technology
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
A comparison study on multiple binary-class SVM methods for unilabel text categorization
Pattern Recognition Letters
A Web page classification system based on a genetic algorithm using tagged-terms as features
Expert Systems with Applications: An International Journal
Using chi-square statistics to measure similarities for text categorization
Expert Systems with Applications: An International Journal
Adapting centroid classifier for document categorization
Expert Systems with Applications: An International Journal
A Bayesian feature selection paradigm for text classification
Information Processing and Management: an International Journal
On feature extraction for spam e-mail detection
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Automated text classification using a dynamic artificial neural network model
Expert Systems with Applications: An International Journal
Author gender identification from text
Digital Investigation: The International Journal of Digital Forensics & Incident Response
A lexicon model for deep sentiment analysis and opinion mining applications
Decision Support Systems
A novel probabilistic feature selection method for text classification
Knowledge-Based Systems
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Preprocessing is one of the key components in a typical text classification framework. This paper aims to extensively examine the impact of preprocessing on text classification in terms of various aspects such as classification accuracy, text domain, text language, and dimension reduction. For this purpose, all possible combinations of widely used preprocessing tasks are comparatively evaluated on two different domains, namely e-mail and news, and in two different languages, namely Turkish and English. In this way, contribution of the preprocessing tasks to classification success at various feature dimensions, possible interactions among these tasks, and also dependency of these tasks to the respective languages and domains are comprehensively assessed. Experimental analysis on benchmark datasets reveals that choosing appropriate combinations of preprocessing tasks, rather than enabling or disabling them all, may provide significant improvement on classification accuracy depending on the domain and language studied on.