Text Analytics For Feedback
Text Analytics for Feedback is a computational method that systematically extracts, interprets, and structures meaningful patterns from unstructured customer feedback text to support decision-making in Customer Feedback Management.
32
Publications
1.6K
Citations
114
Authors
48
Institutions
Publications per year
2017–2026
18
Parents
32
Sentence-Based Text Analysis for Customer Reviews
Joachim Büschken, Greg M. Allenby · Marketing Science · 2016 · 357 citations
Computing, Data Science, Marketing +13
Analyzing Customer Experience Feedback Using Text Mining
Francisco Villarroel Ordenes, Babis Theodoulidis, Jamie Burton et al. · Journal of Service Research · 2014 · 185 citations · Full text
Deriving marketing intelligence from online discussion
Natalie Glance, Matthew Hurst, Kamal Nigam et al. · 2005 · 171 citations
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48
Singapore Management University
Singapore, Singapore
3 h-index
10 publications
371 citations

Montclair State University
Montclair, United States
1 h-index
1 publications
46 citations
Catholic University of Eichstätt-Ingolstadt
Eichstätt, Germany
1 h-index
1 publications
357 citations

Maastricht School of Management
Maastricht, The Netherlands
1 h-index
1 publications
185 citations

Reykjavík University
Reykjavik, Iceland
1 h-index
1 publications
32 citations
Dublin City University
Dublin, Ireland
1 h-index
3 publications
33 citations

Shanghai Jiao Tong University
Shanghai, China
1 h-index
6 publications
84 citations

King Saud University
Riyadh, Saudi Arabia
1 h-index
4 publications
88 citations
1–8 of 48
RPTEL · 1 publications · 72 citations
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1 publications · 357 citations
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1 publications · 27 citations
1
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1 publications · 48 citations
1
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1 publications · 46 citations
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