Open Daily: 10am - 10pm | Alley door 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

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

Word Categorization: Numerical Vector based Approaches

Jo, Taeho

Paperback

General Computers

ISBN13: 9798339024385
Publisher: Independently Published
Published: Sep 12 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 word classification. The book is authored by collecting slides about application of machine learning algorithms to word classification; each page is given as a slide. This book is intended for ones who study applications of machine learning algorithms to word classification and is composed of five sections. Word classification is defined as the process of assigning a category or some categories to each word among the predefined ones; in this book, the scope is restricted to only semantic word classification. This book covers the four machine learning algorithms, KNN algorithm, Naïve Bayes, Learning Vector Quantization, and Perceptron, as approaches to word classification.

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