AN EMPIRICAL STUDY: TEXT CLASSIFICATION ALGORITHMS

Now a days, it is very risky to filter the unwanted data in social networks. Data is generally in the form of text majority in the social networks. There are different algorithms available for classify the text in the social networks. Machine Learning based algorithms can be applied to text for filtering unwanted text in Social Networks very accurately than existing algorithms. Machine Learning based Algorithms provides best text categorization and labelling the text through efficient feature selection. Text Categorization is the important step in machine learning algorithms. In this paper, a review on various machine learning text classification techniques has been presented. Different supervised classification techniques of text mining have been discussed in this paper.