Overview

This book is concerned with numerical vector-based machine learning algorithms which are applied to keyword extraction. The book is authored by collecting slides about the application of machine learning algorithms to keyword extraction; each page is given as a slide. This book is intended for ones who study applications of machine learning algorithms to keyword extraction and is composed of five sections. Keyword extraction is defined as the process of extracting important words selectively from a text. This book covers the four machine learning algorithms, KNN Algorithm, Naïve Bayes, Learning Vector Quantization, and Perceptron, as approaches to keyword extraction.

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