Using natural language processing to optimize the efficiency of long-form content review by compliance officers

使用自然语言处理优化合规官员长篇内容审核的效率

• 批准号: 499864-2016
• 负责人: Vechtomova, Olga
• 金额: $ 1.81万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=607736
• 关键词: Using; natural; language; processing; optimize

Financial advisors are constantly under pressure to grow and sustain their business practice using marketing techniques despite being in a highly regulated industry. For example, the recent rise of the Robo-Advisor is shifting the way in which financial advisors communicate with their clients. In order to scale these demands, many financial advisors are turning to the use of digital marketing techniques. This trend, combined with the trend of increasing regulatory requirements for advisors impedes financial advisors' ability to grow and sustain their business. This is due to the fact that all content classified, as "advertising content" must undergo review

尽管身处一个监管严格的行业，财务顾问们仍不断面临压力，要求他们使用营销技巧发展和维持业务实践。例如，最近Robo-Advisor的崛起正在改变财务顾问与客户沟通的方式。为了满足这些需求，许多财务顾问正转向使用数字营销技术。这一趋势，再加上对顾问的监管要求不断增加的趋势，阻碍了财务顾问的业务增长和维持能力。这是因为所有被归类为“广告内容”的内容都必须经过审查。