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Dynamic Corporate Inspector: An Implementation Method of a Corporate Analysis System that Visualizes ESG Responses
Hiroki Goto, Naoki Ishibashi
286 - 297
10.3233/FAIA241586
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 399: Information Modelling and Knowledge Bases XXXVI
Abstract

We propose a multidimensional corporate analysis system architecture, Dynamic Corporate Inspector (DCI), for stakeholders. This system architecture provides multifaceted corporate analysis of companies by changing text datasets and keyword sets. In this paper, We implemented the system using 4225 Japanese annual securities reports as text data and 173 keywords of SDGs as keyword sets. The analysis visualizes each company’s interest and activities for the SDGs.

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