Natural Language Processing, Speech, Computer Vision | 8th | week 2 |.
Some of the most common application areas of AI include natural language processing, speech, and computer vision. Now, let's look at each of these in turn. Humans have the most advanced method of communication which is known as natural language. While humans can use computers to send voice and text messages to each other, computers do not innately know how to process natural language. Natural language processing is a subset of artificial intelligence that enables computers to understand the meaning of human language. Natural language processing uses machine learning and deep learning algorithms to discern a word's semantic meaning. It does this by deconstructing sentences grammatically, relationally, and structurally and understanding the context of use. For instance, based on the context of a conversation, NLP can determine if the word "Cloud" is a reference to cloud computing or the mass of condensed water vapor floating in the sky. NLP systems might also be able to understand intent and emotion, such as whether you're asking a question out of frustration, confusion, or irritation. Understanding the real intent of the user's language, NLP systems draw inferences through a broad array of linguistic models and algorithms. Natural language processing is broken down into many subcategories related to audio and visual tasks. For computers to communicate in natural language, they need to be able to convert speech into text, so communication is more natural and easy to process.