An NLP Framework for Analyzing Corporate Strategic Behavior in the Opioid Industry Documents Archive

Researchers developed an NLP framework combining relevance filtering, topic modeling, and LLM-assisted interpretation to analyze corporate strategies in the Opioid Industry Documents Archive. Applied to documents from Insys Therapeutics and Mallinckrodt Pharmaceuticals, the framework uncovered systematic differences in corporate priorities, demonstrating the potential of NLP for public health and corporate accountability research.

An NLP Framework for Analyzing Corporate Strategic Behavior in the Opioid Industry Documents Archive https://aclanthology.org/2026.nlpcss-1.7.pdf Abstract The Opioid Industry Documents Archive OIDA provides extensive internal corporate records that offer valuable insight into the drivers of the opioid crisis, yet its use in systematic analysis of corporate strategy remains limited. In this study, we propose an NLP-based framework to analyze strategic behavior in large-scale litigation archives, combining relevance filtering and topic modeling with large language model LLM -assisted interpretation. Applied to documents from Insys Therapeutics and Mallinckrodt Pharmaceuticals, our approach uncovers systematic differences in corporate strategies and organizational priorities. These results highlight the potential of integrating representation learning and LLMs for large-scale analysis in public health and corporate accountability research.- Anthology ID: - 2026.nlpcss-1.7 - Volume: Proceedings of the Seventh Workshop on Natural Language Processing and Computational Social Science /volumes/2026.nlpcss-1/ - Month: - July - Year: - 2026 - Address: - San Diego - Editors: Dallas Card /people/dallas-card/ , Anjalie Field /people/anjalie-field/ , Katherine Keith /people/katherine-keith/ , Julia Mendelsohn /people/julia-mendelsohn/ - Venues: NLP+CSS /venues/nlpcss/ | WS /venues/ws/ - SIG: - Publisher: - Association for Computational Linguistics - Note: - Pages: - 113–122 - Language: - URL: https://aclanthology.org/2026.nlpcss-1.7/ https://aclanthology.org/2026.nlpcss-1.7/ - DOI: 10.18653/v1/2026.nlpcss-1.7 https://doi.org/10.18653/v1/2026.nlpcss-1.7 - Cite ACL : - Duy Dang Phu and Thìn Đặng Văn. 2026. An NLP Framework for Analyzing Corporate Strategic Behavior in the Opioid Industry Documents Archive https://aclanthology.org/2026.nlpcss-1.7/ . In Proceedings of the Seventh Workshop on Natural Language Processing and Computational Social Science , pages 113–122, San Diego. Association for Computational Linguistics. - Cite Informal : An NLP Framework for Analyzing Corporate Strategic Behavior in the Opioid Industry Documents Archive https://aclanthology.org/2026.nlpcss-1.7/ Phu & Văn, NLP+CSS 2026 - PDF: https://aclanthology.org/2026.nlpcss-1.7.pdf https://aclanthology.org/2026.nlpcss-1.7.pdf