As the world is moving towards globalization, digitization of text has been escalating a lot and ... more As the world is moving towards globalization, digitization of text has been escalating a lot and the need to organize, categorize and classify text has become obligatory. Disorganization or little categorization and sorting of text may result in dawdling response time of information retrieval. There has been the 'curse of dimensionality' (as termed by Bellman)[1] problem, namely the inherent sparsity of high dimensional spaces. Thus, the search for a possible presence of some unspecified structure in such a high dimensional space can be difficult. This is the task of feature reduction methods. They obtain the most relevant information from the original data and represent the information in a lower dimensionality space. In this paper, all the applied methods on feature extraction on text categorization from the traditional bag-of-words model approach to the unconventional neural networks are discussed.
Concept Mining has become an important research area. Concept Mining is used to search or extract... more Concept Mining has become an important research area. Concept Mining is used to search or extract the concepts embedded in the text document. Concept based approach search for the informative terms based on their meaning rather than on the presence of the keyword in the text.
As the world is moving towards globalization, digitization of text has been escalating a lot and ... more As the world is moving towards globalization, digitization of text has been escalating a lot and the need to organize, categorize and classify text has become obligatory. Disorganization or little categorization and sorting of text may result in dawdling response time of information retrieval. There has been the 'curse of dimensionality' (as termed by Bellman)[1] problem, namely the inherent sparsity of high dimensional spaces. Thus, the search for a possible presence of some unspecified structure in such a high dimensional space can be difficult. This is the task of feature reduction methods. They obtain the most relevant information from the original data and represent the information in a lower dimensionality space. In this paper, all the applied methods on feature extraction on text categorization from the traditional bag-of-words model approach to the unconventional neural networks are discussed.
Concept Mining has become an important research area. Concept Mining is used to search or extract... more Concept Mining has become an important research area. Concept Mining is used to search or extract the concepts embedded in the text document. Concept based approach search for the informative terms based on their meaning rather than on the presence of the keyword in the text.
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