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Ensemble Learning Based Feature Selection with an Application to Text Classification
(2018)
An important problem of text classification is high dimensionality. The performance of different feature selection methods can change based on the characteristics of different datasets. In this study, a feature selection ...
Review Spam Detection Based on Psychological and Linguistic Features
(2018)
With the advances in information and communication technologies, the immense quantity of review texts have become available on the Web. Review text can serve as an essential source of information for individual decision ...
Biomedical Text Categorization Based on Ensemble Pruning and Optimized Topic Modelling
(2018)
Text mining is an important research direction, which involves several fields, such as information retrieval, information extraction, and text categorization. In this paper, we propose an efficient multiple classifier ...
An ensemble scheme based on language function analysis and feature engineering for text genre classification
(FEB)
Text genre classification is the process of identifying functional characteristics of text documents. The immense quantity of text documents available on the web can be properly filtered, organised and retrieved with the ...