Generative AI: A systematic review using topic modelling techniques
Singapore University of Social Sciences · Nanyang Technological University
Abstract
Generative artificial intelligence (GAI) is a rapidly growing field with a wide range of applications. In this paper, a thorough examination of the research landscape in GAI is presented, encompassing a comprehensive overview of the prevailing themes and topics within the field. The study analyzes a corpus of 1319 records from Scopus spanning from 1985 to 2023 and comprises journal articles, books, book chapters, conference papers, and selected working papers. The analysis revealed seven distinct clusters of topics in GAI research: image processing and content analysis, content generation, emerging use cases, engineering, cognitive inference and planning, data privacy and security, and Generative Pre-Trained…
Citation impact
- FWCI
- 19.80
- Percentile
- 100%
- References
- 153
Authors
4Topics & keywords
- Generative grammar
- Computer science
- Inference
- Data science
- Field (mathematics)
- Robustness (evolution)
- Modal
- Topic model