Text Categorization: Approaches

This chapter is concerned with some machine learning algorithms which are used as the typical approaches to text categorization. Machine learning is a computation paradigm where a model is automatically defined by sample examples called training examples. Machine learning is divided into supervised learning and unsupervised learning, and supervised learning algorithms are used as approaches to text categorization. We mention KNN (K-nearest neighbor) and SVM (support vector machine) as typical approaches to the task. In this chapter, we describe the machine learning algorithms which are the approaches to text categorization with respect to their learning and classification process.