Work

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

Year: 2026

Type: conference-paper

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 NLPbased 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 largescale analysis in public health and corporate accountability research.

Source: Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)

DOI: 10.18653/v1/2026.nlpcss-1.7

Authors: Duy Dang Phu, Thìn Đặng Văn

Institutions: Vietnam National University Ho Chi Minh City, University of Information Technology

Language: English

Topic: Computational and Text Analysis Methods

Subfield: General Social Sciences

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: hybrid

OpenAlex ID: W7166868855