WordPress is by far the most popular and most used content management system online today. This means that WordPress also generates tons of traffic to WordPress websites for billions of users worldwide. One essential tool that all websites need to be successful is a search function.
Having search on your WordPress website allows customers to more easily navigate and find content on your website. Your content can be more easily organized by tags and categories as well. In turn, this organization can make your content look more visually appealing.
Natural Language Processing, or NLP, is a branch of artificial intelligence (AI) that deals with the interaction between computers and human languages. Google’s language translation program is one example of NLP. So are Grammarly, Siri, and Alexa.
Each NLP functions to interact with humans and machines. In theory, the concept is simple. In practice, it’s complicated—so complex it has a high failure rate.
Natural language processing is a breakthrough technology that teaches computers how to understand and analyze human language. While the technology has come a long way (and is evolving more every day) this doesn’t mean we’re anywhere close to having conversations with our computers just yet.
The purpose of this article series is to explain artificial intelligence for non-technical readers. What is Artificial Intelligence (A.I.)? How does it work? What are the limitations of A.I.? And just as importantly, how can we prepare for A.I within our organization?
Natural Language Processing (NLP) is a form of artificial intelligence (A.I.) that allows computers to understand natural human language. Or at least, that’s the idea.
From what the name implies, this sounds like we’re about to bring robots like Hal 9000 or The Terminator into reality. But realistically, what we should expect are slightly stronger performances from A.I. powered devices, like Amazon’s Alexa or Google’s Assistant.
Artificial intelligence (A.I.) systems have prompted an exponential growth in the data collection efforts of companies across the world.
Right now, thousands of data-minded company leaders are investing in A.I. initiatives, and the appeals drawing them in makes sense.