Construction of a Feature Dictionary and Optimization of an Artificial Neural Network for ESG Information Classification: A Case Study in Vietnam
ESG情報分類のための特徴辞書構築と人工ニューラルネットワーク最適化：ベトナム事例 (AI 翻訳)
Anh Nguyen-Ngoc-Lan, Anh Bui-Tuyet, Nhu Hung Duong, Van Nguyen-Thi-Thu
🤖 gxceed AI 要約
日本語
本研究は、人工ニューラルネットワークと自然言語処理を組み合わせて、ベトナムの企業ニュースを環境・社会・ガバナンスの柱に分類する手法を開発した。TF-IDFとグリッドサーチを用いた結果、環境モデルは90.48%の精度とAUC 1.000を達成した。このフレームワークは、グリーンウォッシングを軽減し、投資家を支援する自動スクリーニングツールを提供する。
English
This study develops an Artificial Neural Network combined with NLP to classify Vietnamese corporate news into Environmental, Social, and Governance pillars. Using TF-IDF and grid search, the Environmental model achieves 90.48% accuracy and AUC of 1.000. The framework provides an automated screening tool to mitigate greenwashing and assist investors.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
ベトナムのNet Zero目標に向けたESG開示の自動分類手法を提示。日本企業のサプライチェーンにおけるベトナム拠点のESG評価にも応用可能。
In the global GX context
This paper demonstrates an AI-driven approach for ESG classification in an emerging market context, supporting global disclosure quality assessment (TCFD/ISSB) and greenwashing detection.
👥 読者別の含意
🔬研究者:Useful for those working on NLP for ESG in emerging markets and multi-language classification.
🏢実務担当者:Can be adapted for automated ESG screening of news in other languages and markets.
📄 Abstract（原文）
In the context of the global green transition and Vietnam's commitment to achieving Net Zero by 2050, Environmental, Social, and Governance (ESG) disclosures have become crucial. However, corporate ESG reports in Vietnam often lack quantitative data and transparency. Financial news platforms provide abundant, real-time ESG insights, but processing this massive volume manually is unfeasible. This study pioneers the application of an Artificial Neural Network (ANN) combined with Natural Language Processing (NLP) to automatically classify Vietnamese corporate news into E, S, and G pillars,. Using a dataset of 210 scraped articles, we applied TF-IDF for feature extraction and optimized the ANN's hidden layer through grid search,,. The study successfully established a localized core dictionary of 97 Vietnamese ESG keywords. Performance evaluation showed the Environmental (E) model achieved excellent predictive capacity with 90.48% accuracy and an AUC of 1.000 at 5 hidden nodes,. Although the Social and Governance models exhibited instability due to small test sample sizes, the overall framework demonstrates significant potential. This automated approach provides an objective, real-time screening tool, mitigating “greenwashing” practices, assisting investors in directing green capital, and supporting regulatory bodies in promoting sustainable corporate governance
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://www.e3s-conferences.org/articles/e3sconf/pdf/2026/41/e3sconf_aiei2026_01009.pdffirst seen 2026-07-13 06:41:46
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