Review of feature selection methods for text classification
Muhammad Kashif Iqbal, Malik Muneeb Abid, Muhammad Noman Khalid, Amir Manzoor
Abstract
With the immense growth of online information due to Internet, text-categorization has become a very significant technology to classify a large number of documents to make them useful. The concept of text classification is to categorize textual data into one or more predefined categories [1-3]. It is not possible to manage manually these big datasets. As a result, we witness the development of various machine learning and data mining methods. These methods are being used for automatic recognition of the patterns in large data sets for gaining useful information.
Topics & Concepts
Feature selectionSelection (genetic algorithm)Artificial intelligencePattern recognition (psychology)Computer scienceFeature (linguistics)Natural language processingLinguisticsPhilosophyText and Document Classification TechnologiesAdvanced Text Analysis TechniquesWeb Data Mining and Analysis