Publisher's Synopsis
This book is concerned with graph-based machine learning algorithms which are applied to text classification. The book is authored by collecting slides about the application of graph-based machine learning algorithms to text classification; each page is given as a slide. This book is intended for ones who study applications of machine learning algorithms to text classification and is composed of five sections. The scope of this book is defined as text classification which is defined as the process of assigning a category or some categories to each text, and machine learning algorithms which are modified into graph-based ones. This book covers the four machine learning algorithms, graph-based KNN Algorithm, graph -based Naïve Bayes, graph -based Learning Vector Quantization, and graph -based Perceptron, as approaches to text classification.
