自然语言处理在商业中的应用

Mohammed Bahja
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引用次数: 16

摘要

人类对计算机辅助系统的依赖日益增加,这使得研究人员专注于更有效的通信技术,这些技术可以模拟人类的互动,并理解自然语言和人类情感。包括商业、医疗保健、教育等在内的每个部门都存在信息过载的问题,导致非结构化数据的增加,而这些数据被认为是无用的。在这种情况下,自然语言处理(NLP)是一种有效的技术,可以与机器学习、人工智能和深度学习等先进技术相结合,以改善对自然语言的理解和处理过程。这可以使人机交互以一种更有效的方式进行,并允许对不同行业中大量不可用和非结构化的数据/文本进行分析和格式化。这将产生有意义的结果,可以加强决策,从而提高运营效率。本章围绕这一方面,阐述了自然语言处理的概念、历史和发展,同时回顾了自然语言处理在各个工业领域的应用。
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Natural Language Processing Applications in Business
Increasing dependency of humans on computer-assisted systems has led to researchers focusing on more effective communication technologies that can mimic human interactions as well as understand natural languages and human emotions. The problem of information overload in every sector, including business, healthcare, education etc., has led to an increase in unstructured data, which is considered not to be useful. Natural language processing (NLP) in this context is one of the effective technologies that can be integrated with advanced technologies, such as machine learning, artificial intelligence, and deep learning, to improve the process of understanding and processing the natural language. This can enable human-computer interaction in a more effective way as well as allow for the analysis and formatting of large volumes of unusable and unstructured data/text in various industries. This will deliver meaningful outcomes that can enhance decision-making and thus improve operational efficiency. Focusing on this aspect, this chapter explains the concept of NLP, its history and development, while also reviewing its application in various industrial sectors.
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