Natural language processing (NLP) models can be trained to review unstructured content, and spot issues or trends that may impact financial markets. Practical examples of NLP in financial services include speech recognition and intent parsing used by voice assistants and chatbots in customer services, and information retrieval and sentiment analysis of corporate documents and news feeds.