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- W2586738476 abstract "Natural Language Processing (NLP) is now widely integrated into web and mobile applications, enabling natural interactions between human and computers. Although many NLP studies have been published, none have comprehensively reviewed or synthesized tasks most commonly addressed in NLP research. We conduct a thorough review of IS literature to assess the current state of NLP research, and identify 12 prototypical tasks that are widely researched. Our analysis of 238 articles in Information Systems (IS) journals between 2004 and 2015 shows an increasing trend in NLP research, especially since 2011. Based on our analysis, we propose a roadmap for NLP research, and detail how it may be useful to guide future NLP research in IS. In addition, we employ Association Rules (AR) mining for data analysis to investigate co-occurrence of prototypical tasks and discuss insights from the findings." @default.
- W2586738476 created "2017-02-17" @default.
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- W2586738476 date "2017-01-01" @default.
- W2586738476 modified "2023-10-18" @default.
- W2586738476 title "A Roadmap for Natural Language Processing Research in Information Systems" @default.
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- W2586738476 doi "https://doi.org/10.24251/hicss.2017.132" @default.
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