Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7429006 | International Journal of Information Management | 2018 | 9 Pages |
Abstract
We believe this is the first study to combine the advanced text mining technique of topic modeling and SERVQUAL to extract specific service dimensions from socialized data. Using these advanced techniques, we point to systematic differences between positive and negative customer opinions. We are not aware of any study that has shown these differences with either traditional approaches (i.e., survey data) or modern techniques (e.g. text mining).
Related Topics
Social Sciences and Humanities
Business, Management and Accounting
Management Information Systems
Authors
B. Palese, A. Usai,