Alan Abrahams

Associate Professor

Business Information Technology


Alan Abrahams is an Associate Professor in the Department of Business Information Technology, with research interests in quality analytics from text, specifically discovery of product defects from online reviews. Alan has publications in Production and Operations Management, Decision Support Systems, and Expert Systems with Applications in these areas. He is the faculty lead for PamTAT (Pamplin Text Analytics Toolbox), an easy-to-use Excel workbench for acquisition, transformation, and analysis buy essays online of text from social media, the web, and text files. With Rich Gruss, he has created PamTag, a large-scale collaborative tagging platform for online reviews, and has led the development of PamFlag, a collaborative-tagging extension for the Google Chrome web-browser.   These practical toolboxes are center-piece resources for the Center for Business Intelligence and Analytics, and facilitate rapid text analytics for members of the Virginia Tech community, and for collaborators in industry and government.

Dr. Abrahams eceived a PhD with a major in Computer Science from the University of Cambridge, and a Bachelor of Business Science degree with a major in Information Systems from the University of Cape Town.

Specialization and Contact Information

Text analytics, quality surveillance, data mining, decision support systems


Office: Pamplin 2068

Phone: 540-231-5887

Fax: 540-231-3752

Email: abra@vt.edu

Research and Interests

Research Publications

Law DS; Abrahams AS, and Gruss R. Automated defect discovery for dishwasher appliances from online consumer reviews.  Expert Systems with Applications (Accepted 29th August 2016). Forthcoming.  5-year ISI Impact Factor (2015): 2.879.  In 2016, ESWA is ranked #1 among Artificial Intelligence journals by Google Scholar.

Winkler M, Abrahams AS, Gruss R, Ehsani J (2016).
Toy Safety Surveillance from Online Reviews.
Decision Support Systems.  Forthcoming.
Accepted 20 May 2016

5-year ISI impact factor (2015):  3.271.
Production and Operations Management is among Business Week’s 20 Premier Journals and among Financial Times Research’s 45 Premier Journals.

Abrahams AS, Fan W, Wang GA, Zhang Z, Jiao J (2015).
An Integrated Text Analytic Framework for Product Defect Discovery.
Production & Operations Management.  Published online 3 Nov 2014.
DOI: 10.1111/poms.12303

5-year ISI impact factor (2013):  2.378.
Production and Operations Management is among Business Week’s 20 Premier Journals and among Financial Times Research’s 45 Premier Journals.

Zhang, S. Niu, D. Zhang, G.A. Wang, W. Fan (2015).
Predicting Vehicle Recalls with User-Generated Contents: A Text Mining Approach

Intelligence and Security Informatics,
Lecture Notes in Computer Science Volume 9074, pp 41-50
DOI: 10.1007/978-3-319-18455-5_3

Abrahams AS, Jiao J, Fan W, Wang GA, Zhang Z (2013).
What’s buzzing in the blizzard of buzz? Automotive component isolation in social media postings. Decision Support Systems, 55 (4) 871-882.
DOI: 10.1016/j.dss.2012.12.023
5-year ISI impact factor (2013): 2.651.

Abrahams AS, Jiao J, Wang GA, and Fan W (2012).
Vehicle Defect Discovery from Social Media. Decision Support Systems, 54 (1) 87-97. DOI: 10.1016/j.dss.2012.04.005
5-year ISI impact factor (2013): 2.651.

External Professional Service


Alan Abrahams: Apex CIE Faculty Spotlight

Alan Abrahams, BIT; teaching

“40 Under 40, Professors Who Inspire”


2013 Diggs Teaching Scholars Award 


Thailand Gets a Peek Inside Pamplin’s Social Media Toolbox


Smoke Words: Mining Media to Find Vehicle Defects

NY Times: Can Data Stop Car Wrecks?

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