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Business boosting through sentiment analysis using Artificial Intelligence approach

Author

Listed:
  • Alim Al Ayub Ahmed

    (Jiujiang University)

  • Sugandha Agarwal

    (European International College)

  • IMade Gede Ariestova Kurniawan

    (Universitas Teknologi Yogyakarta)

  • Samuel P. D. Anantadjaya

    (International Univ Liaison Indonesia, BSD City)

  • Chitra Krishnan

    (Amity University)

Abstract

In the recent years, Artificial Intelligence has conquered every field whether it is health sector, financial sector, satellite system, farming sector and many more. Artificial Intelligence has enhanced the performance of all these sectors. In this paper, the focus will be on business performance and the AI methods will be applied in the form of machine learning and deep learning. This paper will present how Artificial Intelligence has enhance the business through the sentiment analysis. The work has also discussed the sentiment analysis approach for the business applications. The paper has covered all the aspects with respect to artificial intelligence in the business domain with its advantages for enhancing the performance of the business. The work has also described the natural language processing for performing the sentiment analysis through which business performance can be boosted.

Suggested Citation

  • Alim Al Ayub Ahmed & Sugandha Agarwal & IMade Gede Ariestova Kurniawan & Samuel P. D. Anantadjaya & Chitra Krishnan, 2022. "Business boosting through sentiment analysis using Artificial Intelligence approach," 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. 13(1), pages 699-709, March.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:1:d:10.1007_s13198-021-01594-x
    DOI: 10.1007/s13198-021-01594-x
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    References listed on IDEAS

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    1. Raffaele Cioffi & Marta Travaglioni & Giuseppina Piscitelli & Antonella Petrillo & Fabio De Felice, 2020. "Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions," Sustainability, MDPI, vol. 12(2), pages 1-26, January.
    2. Anna Trunk & Hendrik Birkel & Evi Hartmann, 2020. "On the current state of combining human and artificial intelligence for strategic organizational decision making," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 875-919, November.
    3. Borges, Aline F.S. & Laurindo, Fernando J.B. & Spínola, Mauro M. & Gonçalves, Rodrigo F. & Mattos, Claudia A., 2021. "The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions," International Journal of Information Management, Elsevier, vol. 57(C).
    4. Kumar, Jeetesh & Konar, Rupam & Balasubramanian, Kandappan, 2020. "The Impact Of Social Media On Consumers’ Purchasing Behaviour In Malaysian Restaurants," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 8(3), pages 197-216.
    5. Liu Liu & Daria Dzyabura & Natalie Mizik, 2020. "Visual Listening In: Extracting Brand Image Portrayed on Social Media," Marketing Science, INFORMS, vol. 39(4), pages 669-686, July.
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    Cited by:

    1. 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.

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