Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41285

A Roadmap for Natural Language Processing Research in Information Systems

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Title: A Roadmap for Natural Language Processing Research in Information Systems
Authors: Liu, Dapeng
Li, Yan
Thomas, Manoj A.
Keywords: Natural language processing
prototypical task
methodology
Issue Date: 04 Jan 2017
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.
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/41285
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.132
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Data, Text, and Web Mining for Business Analytics Minitrack



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