Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Alan S. Abrahams"'
Publikováno v:
INFORMS Journal on Data Science.
Rhetoric mining is a novel text-analytics method for quantifying persuasion based on rhetorical analysis theory. Our mixed-methodology approach combines qualitative context analysis with automated tagging and quantification of rhetorical moves. Rheto
Autor:
David M. Goldberg, Alan S. Abrahams
Publikováno v:
Expert Systems with Applications. :120540
Autor:
Peter Ractham, Alan S. Abrahams, Nohel Zaman, Richard Gruss, Siriporn Srisawas, Michelle M.H. Şeref, David M. Goldberg
Publikováno v:
Information Systems Frontiers. 24:1265-1285
Online reviews contain many vital insights for quality management, but the volume of content makes identifying defect-related discussion difficult. This paper critically assesses multiple approaches for detecting defect-related discussion, ranging fr
Autor:
Nohel Zaman, Peter Ractham, Leila Nasri, Milad Baghersad, Juthamon Sithipolvanichgul, David M. Goldberg, Alan S. Abrahams
Publikováno v:
Journal of Korea Trade. 24:39-62
Publikováno v:
Decision Sciences. 52:1403-1431
Publikováno v:
Journal of Hospitality & Tourism Research. 44:201-228
The hospitality and tourism industries now acknowledge that engaging with customers via social media is an essential element of marketing strategy. Given the high variability of success with which firms have been attracting customer interest online,
Publikováno v:
Journal of the Association for Information Science and Technology. 71:208-220
Publikováno v:
Software Impacts. 12:100270
Publikováno v:
Risk analysis : an official publication of the Society for Risk AnalysisLITERATURE CITED. 42(8)
Food contamination and food poisoning pose enormous risks to consumers across the world. As discussions of consumer experiences have spread through online media, we propose the use of text mining to rapidly screen online media for mentions of food sa
Publikováno v:
Decision Support Systems. 113:86-98
There is a growing recognition among MIS researchers and practitioners that social media provide a valuable source of business intelligence. Unearthing relevant and useful information among the voluminous postings remains a challenge, however. Automa