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Decoding Future of Generative AI in Finance: A Machine Learning Exploration of Academic and Grey Corpus
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References

  • 2014Structural Topic Models for Open‐Ended Survey Responses1,967 cited
  • 2023Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT903 cited
  • 2023The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT578 cited
  • 2026Can ChatGPT forecast stock price movements? Return predictability and large language models426 cited
  • n.d.The structural topic model and applied social science231 cited
  • 2024The power of generative marketing: Can generative AI create superhuman visual marketing content?229 cited
  • 2021Fifty years of information management research: A conceptual structure analysis using structural topic modeling167 cited
  • 2016A topic modeling based bibliometric exploration of hydropower research153 cited
  • 2024Generative AI and human–robot interaction: implications and future agenda for business, society and ethics136 cited
  • 2023Can ChatGPT assist in picking stocks?95 cited
  • 2023GPT has become financially literate: Insights from financial literacy tests of GPT and a preliminary test of how people use it as a source of advice78 cited
  • 2024ChatGPT in finance: Applications, challenges, and solutions67 cited
  • 2022Smarter than Humans? Validating how OpenAI’s ChatGPT Model Explains Crowdfunding, Alternative Finance and Community Finance67 cited

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  • 2023ChatGPT-Based Investment Portfolio Selection48 cited
  • 2024Role and challenges of ChatGPT and similar generative artificial intelligence in arts and humanities41 cited
  • 2023Exploring the Potential of ChatGPT in Improving Online Marketing and Promotion of MSMEs15 cited
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