How Does Natural Language Processing Work?
Here’s how Natural Language Processing works in a nutshell. First, text analytics functions (usually low-level) are used to break down phrases into specific parts, which includes verbal speech for example. NLP then deciphers the meaning of these specific parts, analyzes the sentiment, and further categorizes the message being portrayed.
You can see examples of NLP most prevalent through chatbots, voice assistants, and automated emails. NLP in Robotic Process Automation (RPA) can help analyze structured, unstructured, and semi-structured data, and extract it for further analysis. Through AI-driven practices, RPA vendors must scale their NLP capabilities to keep up with the demand and bandwidth of automation. Especially in automating end-to-end processes, NLP can provide a humanistic touch to enhance the user experience, which can have a major impact in various functions/industries.