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The paper explores how Natural Language Processing (NLP) can be extended to enhance the analysis of sustainability communication and how customized resources can practically support the writing and revision of Non-Financial Reporting (NFR). Through NLP approaches, two original resources are proposed: (1) SustDict, a lexicon-based algorithm that leverages NFRs from Italian companies to address gaps in domain-specific vocabulary, and (2) SustVIs, a tailored interactive interface designed to deepen the structural and conceptual dimensions of sustainable corporate communication, promoting visual insights and improving access to complex data.

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SustVIs: A Customized Interface for Sustainable Corporate Communication

  • 会议论文

  • 发表日期：

    2025年

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  • Alessia Forciniti,
  • Emma Zavarrone

摘要

The paper explores how Natural Language Processing (NLP) can be extended to enhance the analysis of sustainability communication and how customized resources can practically support the writing and revision of Non-Financial Reporting (NFR). Through NLP approaches, two original resources are proposed: (1) SustDict, a lexicon-based algorithm that leverages NFRs from Italian companies to address gaps in domain-specific vocabulary, and (2) SustVIs, a tailored interactive interface designed to deepen the structural and conceptual dimensions of sustainable corporate communication, promoting visual insights and improving access to complex data.