Text Classification Mining Support on Categorize Support Vector Machine Based on GA

In this paper proposed Text classification (also identified as text group or topic spotting) is the assignment of automatically categorization a set of text into a predefined set. The SVM network formation that used for web text in sequence categorization is recognized, and we exploit the genetic algorithm to optimize SVM parameters, thus enhancing the congregation rate and the classification accuracy, even when the data is noisy or partially labeled. Our work includes a proportional revision on classification of the same data set with added machine learning algorithms such as support vector machines, genetic algorithm parameters. In our proposed algorithm that combines genetic algorithm and support vectors machine and obtain web pages as an illustration to be appropriate to text classification problem. Keywords—SVM based GA, Text classification,