
This dataset contains the data and computational artifacts supporting the study, "Beyond Tickets and Texts: Addressing Challenges in AI-driven Customer Service" It includes the abstract corpus used for topic modeling, precomputed embeddings, full BERTopic configuration files, clustering outputs. The dataset is intended to enable transparent auditing and deterministic reproduction of the analyses reported in the revised manuscript.
Artificial intelligence, Customer Service, Text Analytics, Morphologically Rich Languages, Natural Language Processing
Artificial intelligence, Customer Service, Text Analytics, Morphologically Rich Languages, Natural Language Processing
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
