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In this section, we will introduce the top 10 use cases, of which five are related to pure NLP capabilities and the remaining five need for NLU to assist computers in efficiently automating these use cases. Figure 4 depicts our sample of 5 use cases in which businesses should favor NLP over NLU or vice versa. NLU skills are necessary, though, if users’ sentiments vary significantly or if AI models are exposed to explaining the same concept in a variety of ways. For those interested, here is our benchmarking on the top sentiment analysis tools in the market.
Chatbots offer 24-7 support and are excellent problem-solvers, often providing instant solutions to customer inquiries. These low-friction channels allow customers to quickly interact with your organization with little hassle. NLP is concerned with how computers are programmed to process language and facilitate “natural” back-and-forth communication between computers and humans. Check out this guide to learn about the 3 key pillars you need to get started.
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ML algorithms can then examine these to discover relationships, connections, and context between these smaller sections. NLP links Paris to France, Arkansas, and Paris Hilton, as well as France to France and the French national football team. Thus, NLP models can conclude that “Paris is the capital of France” sentence refers to Paris in France rather than Paris Hilton or Paris, Arkansas. Being able to rapidly process unstructured data gives you the ability to respond in an agile, customer-first way.
In this step, the system extracts meaning from a text by looking at the words used and how they are used. For example, the term “bank” can have different meanings depending nlu definition on the context in which it is used. If someone says they are going to the “bank,” they could be going to a financial institution or to the edge of a river.
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When deployed properly, AI-based technology like NLU can dramatically improve business performance. Sixty-three percent of companies report that AI has helped them increase revenue. Functions like sales and marketing, product and service development, and supply-chain management are the most common beneficiaries of this technology. It’s critical to understand that NLU and NLP aren’t the same things; NLU is a subset of NLP. NLU is an artificial intelligence method that interprets text and any type of unstructured language data.