5 examples of effective NLP in customer service

The study of natural language processing has been around for more than 50 years, but only recently has it reached the level of accuracy needed to provide real value. From interactive chatbots that can automatically respond to human requests to voice assistants used in our daily life, the power of AI-enabled natural language processing (NLP) is improving the interactions between humans and machines. NLP is broadly defined as the automatic manipulation of natural language, either in speech or text form, by software. NLP-enabled systems aim to understand human speech and typed language, interpret it in a form that machines can process, and respond back using human language forms rather than code. AI systems have greatly improved the accuracy and flexibility of NLP systems, enabling machines to communicate in hundreds of languages and across different application domains.