Unleashing the Potential of Argument Mining for IS Research: A Systematic Review and Research Agenda

2022 | International Conference on Information Systems | Citations: 0

Authors: Weingart, Pablo; Wambsganss, Thiemo; Söllner, Matthias

Abstract: Argument mining (AM) represents the unique use of natural language processing ( ... Expand

Abstract: Argument mining (AM) represents the unique use of natural language processing (NLP) techniques to extract arguments from unstructured data automatically. Despite expanding on commonly used NLP techniques, such as sentiment analysis, AM has hardly been applied in information systems (IS) research yet. Consequentially, knowledge about the potentials for the usage of AM on IS use cases appears to be still limited. First, we introduce AM and its current usage in fields beyond IS. To address this research gap, we conducted a systematic literature review on IS literature to identify IS use cases that can potentially be extended with AM. We develop eleven text-based IS research topics that provide structure and context to the use cases and their AM potentials. Finally, we formulate a novel research agenda to guide both researchers and practitioners to design, compare and evaluate the use of AM for text-based applications and research streams in IS. Collapse

Topics: information system use database system data security IT security electronic commerce

Methods: natural language processing structured literature research literature sample literature study sentiment analysis