Business boosting through sentiment analysis using Artificial Intelligence approach
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DOI: 10.1007/s13198-021-01594-x
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Cited by:
- Anisha Singh & P. K. Kapur & V. B. Singh, 2024. "Developing classifiers by considering sentiment analysis of reported bugs for priority prediction," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(5), pages 1888-1899, May.
- Pallavi Sood & Chetan Sharma & Shivinder Nijjer & Sumit Sakhuja, 2023. "Review the role of artificial intelligence in detecting and preventing financial fraud using natural language processing," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(6), pages 2120-2135, December.
- Varsha Sehgal & Naval Garg & Jagvinder Singh, 2023. "Impact of sustainability performance & reporting on a firm’s reputation," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 228-240, February.
- Diksha Shukla & Sanjay K. Dwivedi, 2025. "Sentiment analysis versus aspect-based sentiment analysis versus emotion analysis from text: a comparative study," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(2), pages 512-531, February.
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Keywords
Machine learning; Deep learning; Financial sector; Energy sector; Natural language processing; Retail industry; Business application;All these keywords.
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