Analysis of the employment process of Indian IT Engineers in Japan using an ER Diagram

Companies plan and design new products and services by analyzing the behavior of their users. However, users themselves may not clearly understand their own behavior or needs and often have only a vague understanding of their behavior and needs. In this study, we will examine a method for organizing requirements based on such ambiguous user statements and create a diagram of the results. The specific procedure is as follows: 1) Morphological analysis is performed on the transcribed interview data. This analysis is carried out using text mining. 2) Based on the part-of-speech information added by the morphological analysis, the elements that make up Entity-Relationship (ER) Diagram are derived. 3) ER Diagram is drawn based on each element. In this paper, we present the results of a trial of this procedure using actual interview data on the employment process of Indian IT engineers in Japan. The results of this study confirmed that the proposed method effectively extracts diagrams from ambiguous user statements.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.09.489
Primary Topic
Advanced Text Analysis Techniques
Type
article
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article

Analysis of the employment process of Indian IT Engineers in Japan using an ER Diagram

Hideki Kumamoto, Yasunobu Kino, Hiroshi Kuroki
Procedia Computer Science
Advanced Text Analysis Techniques
article

Analysis of the employment process of Indian IT Engineers in Japan using an ER Diagram

Hideki Kumamoto, Yasunobu Kino, Hiroshi Kuroki
article en

Abstract

Companies plan and design new products and services by analyzing the behavior of their users. However, users themselves may not clearly understand their own behavior or needs and often have only a vague understanding of their behavior and needs. In this study, we will examine a method for organizing requirements based on such ambiguous user statements and create a diagram of the results. The specific procedure is as follows: 1) Morphological analysis is performed on the transcribed interview data. This analysis is carried out using text mining. 2) Based on the part-of-speech information added by the morphological analysis, the elements that make up Entity-Relationship (ER) Diagram are derived. 3) ER Diagram is drawn based on each element. In this paper, we present the results of a trial of this procedure using actual interview data on the employment process of Indian IT engineers in Japan. The results of this study confirmed that the proposed method effectively extracts diagrams from ambiguous user statements.

Procedia Computer ScienceVol. 270
University of Tsukuba (JP), Chiba University (JP), Zen-Noh (Japan) (JP)
Openalex Percentile: Top 83%
Advanced Text Analysis Techniques
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Analysis of the employment process of Indian IT Engineers in Japan using an ER Diagram — Hideki Kumamoto, Yasunobu Kino, et al. · Procedia Computer Science (2025) | TGRS Research Map | TGRS