-------- Forwarded Message -------- Subject: [AISWorld] CFP: HICSS Minitrack on Text Analytics Date: Wed, 29 May 2019 04:16:52 +0900 From: Victoria Yoon vyyoon@vcu.edu To: AISWorld@lists.aisnet.org
Greetings Everyone.
We invite you to submit a paper to the Text Analytics Mini-track for HICSS-53 taking place on the beautiful of Maui! Details follow. If you have any questions about the mini-track or about the applicability of your potential submission please contact Derrick, Victoria, Normand and/or Mike via our email below. Thanks.
Mike, Derrick, Normand and Victoria.
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January 7-10, 2020 Grand Wailea, Maui, HI http://hicss.hawaii.edu/
Submission Deadline: June 15, 2020
HICSS-53 Minitrack: Text Analytics (Collaboration Systems and Technologies Track)
This mini-track recognizes the reality that global collaboration systems, social media, and information systems of all types generate enormous amounts of unstructured textual data, including: system logs, email archives, websites, blog posts, meeting transcripts, speeches, annual reports, published material, and social media posts. While this unstructured textual 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. For example, the American Association for the Advancement of Science (AAAS) launched a new competition in 2014 on Big Data and Analytics within its highly competitive senior executive branch fellowship program. The mini-track on Text Analytics is designed to provide an interactive forum by bringing together researchers to discuss the critical issues of text mining and to contribute to the growing big data focus at HICSS, and invites papers that apply text-mining approaches to a wide variety of substantive domains, including, but not limited to theoretical and applied approaches to analyzing various genres of textual data:
• Blog posts • Social media analysis • Email archives • Published articles • Websites • Meeting transcripts • Speeches • Online discussion forums • Online communities • Computer logs
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, and clustering.
Mini-Track Co-Chairs:
Dr. Derrick L. Cogburn (Primary Contact) Professor School of International Service / Kogod School of Business American University Email: dcogburn@american.edu
Dr. Michael J. Hine Associate Professor, Information Systems Sprott School of Business Carleton University Email: mike.hine@carleton.ca
Dr. Normand Peladeau President & CEO Provalis Research Corporation Email: peladeau@provalisresearch.com Dr. Victoria Yoon Professor, Information Systems School of Business Virginia Commonwealth University Email: vyyoon@vcu.edu _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org