Efficient Text Classification Model Based on Improved Hyper-Sphere Support Vector Machine with MapReduce and Hadoop

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Security
Format: PDF
The concept of text classification is process of sorting out the text documents automatically in predefined classes. There are many algorithms are presented for the automatic text categorization. Those algorithms are representing the bags or words and hence processing the large number of features. For the feature extraction semantic analysis is commonly used, removing the text representation errors caused by synonyms and polysemes, and hence removing the vector dimensions. Recently the authors have studied the Hyper-Sphere-SVM (HS-SVM) as the recent machine learning method for text classification, this method later suppressed by Improved HS-SVM (IHS-SVM) by gaining more accuracy and efficiency.
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