-------- Forwarded Message --------
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.
***
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
_______________________________________________
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