Introduction to Natural Language Processing (NLP)
Explore the fundamentals and applications of natural language processing (NLP) in various industries, illustrated by leading companies such as Uber, Twitter, Facebook, and Google.
Natural language processing (NLP) is about making computers and people talk in a natural way. To do this, we develop and use algorithms and mathematical models. These models help computers learn words like us. We'll take a closer look at some code in JavaScript showing how NLP works. Not only that, we'll see how NLP helps us, and also look at some big companies that use it.
Introduction to NLP
Think of NLP as an intersection for the fields of computer science, artificial intelligence, and linguistics. It's like a translator, making sense of human language for computers. It has plenty of jobs, like classifying text, identifying specific phrases, judging emotions from words, translating languages, and much more. Recently, NLP has become a star because of big leaps in how machines learn and understand natural language. Machines can now review and pick apart huge chunks of written stuff, thanks to these advancements. This has opened up new uses in making virtual helpers, talking robots, language translation services, and tools that judge emotions from human language.
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