-------- Forwarded Message -------- Subject: [AISWorld] CFP: HICSS 55 Text Analytics Minitrack Date: Fri, 9 Apr 2021 13:01:43 +0000 From: Mike Hine MikeHine@CUNET.CARLETON.CA To: aisworld@lists.aisnet.org aisworld@lists.aisnet.org
Colleagues
We invite you to submit a paper to the Text Analytics Minitrack for the upcoming HICSS taking place in beautiful Maui from Jan.4-7, 2022.
We are pleased to announce that this year we are collaborating with the Cambridge University Press journal Data & Policy to provide fast-track publication opportunities after the conference for accepted papers (https://hicss.hawaii.edu/tracks-55/fasttrack/).
Full papers are due for anonymous review by 15 June, with notification of acceptance or rejection by 17 August. More information for prospective authors may be found here: https://hicss.hawaii.edu/authors/.
If you have any questions about the conference, or fit with our minitrack, please do not hesitate to contact any of the co-chairs listed below.
Full details of the minitrack follow.
*** Call for Papers Text Analytics Minitrack HICSS-55 4-7 January 2022 - Hyatt Regency, Maui, Hawaii
Global collaboration and information systems of all types generate enormous amounts of unstructured textual data. This data includes system logs, email archives, websites, blog posts, meeting transcripts, speeches, annual reports, published material, social media posts, and much more. While this data is readily available, it presents tremendous challenges to researchers trying to analyze these large bodies of text with traditional methods. Text analytics is an increasingly important technique for an interdisciplinary group of scholars, practitioners, government officials, and international organizations. This minitrack provides an interactive forum for researchers to discuss critical issues of text mining and contributes to the focus on big data at HICSS. Our minitrack welcomes papers that take both theoretical and applied approaches, and papers that apply text mining approaches to a wide variety of substantive domains.
For HICSS-55, we have forged a fast track publication opportunity with Data & Policy published by Cambridge University Press. Data & Policy is a peer-reviewed, open access journal dedicated to data science and governance.
Topics for papers submitted to this minitrack include, but are not limited to: * Websites and blog posts * Twitter and social media * Email archives * Published articles * Meeting and call center transcripts * Speeches * Online discussion forums * Online communities * Computer logs * Incident and maintenance reports * Patents, contracts and other legal documents * Public policies and public comments * News transcripts * Customer feedback and employee evaluations * Resumes and CVs * Insurance claims * Annual reports
And addressing methodological challenges, such as: * Automated acquisition and cleaning data * Working on distributed, high-performance computers * Overcoming API limitations * Using LDA, LSA, and other techniques * Robust Natural Language Processing (NLP) techniques * Text summarization, classification, clustering, and categorization models/dictionary development
Minitrack Co-Chairs: Derrick L. Cogburn American University dcogburn@american.edumailto:dcogburn@american.edu
Michael Hine Carleton University mike.hine@carleton.camailto:mike.hine@carleton.ca
Normand Peladeau Provalis Research Corporation peladeau@provalisresearch.commailto:peladeau@provalisresearch.com
Victoria Yoon VA Commonwealth U. vyyoon@vcu.edumailto:vyyoon@vcu.edu
** Mike Hine, Ph.D. Associate Professor of Information Systems Sprott School of Business Carleton University
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