A Comparison of English Materials for Business Management and Information Technology Using Data Mining

Authors

  • Hiromi Ban Sanjo City University, 1341 Shimosugoro, Sanjo, Niigata, 955-0091, Japan.
  • Hidetaka Nambo Kanazawa University, 2-40-20 Kodatsuno, Kanazawa, Ishikawa, 920-8667, Japan.
  • Takashi Oyabu Nihonkai International Exchange Center, 2-31 Toiyamachi, Kanazawa, Ishikawa, 920-0061, Japan.

DOI:

https://doi.org/10.9734/bpi/nvst/v3/1871C

Keywords:

Data mining, English style analysis, metrical linguistics, statistical analysis

Abstract

The advancement of business management in the United States is intimately linked to the development of computers and network systems. There have been numerous management books published in English. If enough knowledge of the features of English in the field is acquired beforehand, reading of the texts will become easier. In this paper, several English books on management and computers are investigated to compare them in terms of metrical linguistics. In summary, a C++ programme is used to explore the frequency characteristics of character and word appearance. An exponential function is used to approximate these qualities. To determine the difficulty level and K-characteristic of each content, the percentage of Japanese junior high school necessary vocabulary and American basic vocabulary is computed.

Published

2021-08-28

How to Cite

Hiromi Ban, Hidetaka Nambo, & Takashi Oyabu. (2021). A Comparison of English Materials for Business Management and Information Technology Using Data Mining. New Visions in Science and Technology Vol. 3, 131–143. https://doi.org/10.9734/bpi/nvst/v3/1871C

Issue

New Visions in Science and Technology Vol. 3

Section

Chapters