A Study on Feature Analysis of English Guidebooks for Hokuriku Region in Japan Using Data Mining | Chapter 9 | New Visions in Science and Technology Vol. 3

Ishikawa Prefecture is part of the Hokuriku region of Japan. Increasing the number of visitors from other countries is one of the issues facing Ishikawa tourism. In order to address this problem, it is critical to give “language service” to international tourists. This study compares the linguistic characteristics found in English guidebooks for Kanazawa, theContinue reading “A Study on Feature Analysis of English Guidebooks for Hokuriku Region in Japan Using Data Mining | Chapter 9 | New Visions in Science and Technology Vol. 3”

A Comparison of English Materials for Business Management and Information Technology Using Data Mining | Chapter 10 | New Visions in Science and Technology Vol. 3

The development of computers and network systems has had a significant impact on corporate management in the United States. English-language management books abound. Reading the texts will be easier if you have a good understanding of the characteristics of English in the sector. In this paper, metrical linguistics is used to compare different English booksContinue reading “A Comparison of English Materials for Business Management and Information Technology Using Data Mining | Chapter 10 | New Visions in Science and Technology Vol. 3”

Feature Extraction of English Books on Environmentology Using Data Mining | Chapter 1 | Current Approaches in Science and Technology Research Vol. 14

To solve environmental challenges, a system known as “environmentology” has lately been attempted. It is deemed necessary to read resources in English in order to study environmentology. Several English works on environmental issues are examined and contrasted to journalism in terms of metrical linguistics in this paper. In short, the frequency properties of character- andContinue reading “Feature Extraction of English Books on Environmentology Using Data Mining | Chapter 1 | Current Approaches in Science and Technology Research Vol. 14”

Feature Extraction of English Books on Tourism Using Data Mining | Chapter 10| Insights into Economics and Management Vol. 12

According to the White Paper on Tourism for 2020, 20.08 million Japanese individuals travelled overseas before the start of COVID-19, while 31.88 million foreigners visited Japan for sightseeing in 2019. It may be stated that it was a sightseeing period. Tourism expertise has become increasingly crucial, and reading resources in English has become essential. SeveralContinue reading “Feature Extraction of English Books on Tourism Using Data Mining | Chapter 10| Insights into Economics and Management Vol. 12”

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