Publisher's Synopsis
This book is concerned with string vector-based machine learning algorithms which are applied to text summarization. The book is authored by collecting slides about the application of string vector-based machine learning algorithms to text summarization; each page is given as a slide. This book is intended for people who study applications of string vector-based machine learning algorithms to text summarization and is composed of five sections. Text summarization is defined as the process of extracting essential parts from a text or texts. This book covers four machine learning algorithms, string vector-based KNN Algorithm, string vector-based Naïve Bayes, string vector-based Learning Vector Quantization, and string vector-based Perceptron, as approaches to text summarization.
