• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Keyword Extraction: Numerical Vector based Approaches

Keyword Extraction: Numerical Vector based Approaches

Paperback

General Computers

ISBN13: 9798345774915
Publisher: Independently Published
Published: Nov 6 2024
Pages: 70
Weight: 0.23
Height: 0.15 Width: 6.00 Depth: 9.00
Language: English
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.

Also from

Jo, Taeho

Also in

General Computers