Detecting opportunities and threats from massive text data is a challenging task for most. Traditionally, companies would rely mainly on structured data to detect and predict risks, losing a huge amount of information that could be extracted from unstructured text data. Fortunately, artificial intelligence came to remedy this issue by innovating in data extraction and processing techniques, allowing us to understand and make use of Natural Language data and turning it into structures that a machine can process and extract insight from. Uncertainty refers to a state of not knowing what will happen in the future. This paper aims to leverage natural language processing and machine learning techniques to model uncertainties and evaluate the risk level in each uncertainty cluster using massive text data.
翻译:发现大量文本数据带来的机遇和威胁对大多数人来说是一项艰巨的任务。 传统上,公司将主要依靠结构化数据来探测和预测风险,损失大量从无结构化文本数据中提取的信息。 幸运的是,人工智能通过创新数据提取和处理技术,使我们能够理解和利用自然语言数据,并将其转化为机器能够处理和提取洞察力的结构,从而纠正了这一问题。 不确定性是指不知道未来会发生什么。 本文旨在利用自然语言处理和机器学习技术,用大量文本数据来模拟不确定性并评估每个不确定性组的风险水平。