[AISWorld] CFP: Text Mining in Big Data Analytics Mini-track for HICSS-51

[Mike Hine]

Greetings Everyone.

We invite you to submit a paper to the Text Mining in Big Data Analytics Mini-track for HICSS-51 taking place on the beautiful big island of Hawaii!  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 I via our email below.  Thanks.

Mike, Derrick, Normand and Victoria.

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January 4-7, 2018
Hilton Waikoloa Village
http://hicss.hawaii.edu/

HICSS-51 Minitrack:  Text Mining in Big Data 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 mining in big data 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 Mining in Big Data 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)
Associate Professor, International Communication
School of International Service
American University
Email: dcogburn at american.edu

Dr. Michael J. Hine
Associate Professor, Information Systems
Sprott School of Business
Carleton University
Email: mike.hine at carleton.ca

Dr. Normand Peladeau
President & CEO
Provalis Research Corporation
Email: peladeau at provalisresearch.com 

Dr. Victoria Yoon
Professor, Information Systems
School of Business
Virginia Commonwealth University
Email: vyyoon at vcu.edu 



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Michael J. Hine, Ph.D.
Associate Professor, Information Systems
Sprott School of Business
Carleton University