Investor behavior modeling by analyzing financial advisor notes: a machine learning perspective

@article{Pagliaro2021InvestorBM,
  title={Investor behavior modeling by analyzing financial advisor notes: a machine learning perspective},
  author={Cynthia A. Pagliaro and Dhagash Mehta and Han-Tai Shiao and Shaofei Wang and Luwei Xiong},
  journal={Proceedings of the Second ACM International Conference on AI in Finance},
  year={2021}
}
Modeling investor behavior is crucial to identifying behavioral coaching opportunities for financial advisors. With the help of natural language processing (NLP) we analyze an unstructured (textual) dataset of financial advisors' summary notes, taken after every investor conversation, to gain first ever insights into advisor-investor interactions. These insights are used to predict investor needs during adverse market conditions; thus allowing advisors to coach investors and help avoid… 
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