金融的发展离不开高效的信息获取。在金融领域，每天都会产生大量的新闻资讯和公告以及人与人之间的沟通对话，这些庞大信息量的处理正是自然语言处理在金融领域的“用武之地”。
自然语言处理在投研分析、投顾营销、投资决策、风险控制等领域也都能提供相应的支持与服务：在证券投资领域，可以为量化投资贡献因子，如情感因子、事件因子等；在大数据风控领域，可以为构建用户画像、企业画像提供技术支持，如关键词抽取技术、法律文书抽取等；在投研领域，可以减少资讯处理工作量，快速获取业绩预告、分红送转等公告信息，实现资讯二级行业分类、资讯摘要，进行资讯情感正负面判断等。此外，自然语言处理技术与知识图谱的结合，可以推导事件、情感在企业链、产业链上的传导，辅助量化投资和风控。
自然语言处理在金融领域的广泛应用可以使金融行业从业者从繁重的文书工作中解脱，专注于更重要的工作中去。
The development of finance is inseparable from efficient information acquisition. In the financial field, a large number of news and announcements, as well as communication and dialogue between people are generated every day. The processing of this huge amount of information is the "useful place" of natural language processing in the financial field.
NLP can also provide corresponding support and services in investment research analysis, investment consultancy marketing, investment decision-making, risk control and other fields. In the field of securities investment, NLP can contribute factors to quantitative investment, such as emotion factor and event factor. In the field of big data risk control, it can provide technical support for the construction of user portrait and enterprise portrait, such as keyword extraction technology and legal document extraction, etc. In the field of investment and research, it can reduce the workload of information processing, quickly obtain the announcement information such as performance forecast and dividend transfer, realize the information secondary industry classification, information summary, positive and negative judgment of information emotion, etc. In addition, the combination of natural language processing technology and knowledge graph can deduce the transmission of events and emotions in the enterprise chain and industrial chain, and assist in quantifying investment and risk control.
The widespread use of natural language processing in finance can free financial workers from heavy paperwork and focus on more important tasks.