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1.	Introduction to Natural Language Processing (NLP)
Answer» Natural language processing (NLP) is a BRANCH of linguistics, computer science, and artificial intelligence that studies how computers interact with human language, PARTICULARLY how to design computers to process and analyse massive amounts of natural language data. Google Assistant from Google, Siri speech assistance from Apple, are examples of Natural language processing. Computational linguistics—rule-based human language modelling—is combined with statistical, machine learning, and deep learning models in NLP. These technologies, when used together, allow computers to process human language in the form of text or speech data and 'understand' its full meaning, including the speaker's or writer's intent and sentiment. NLP is used to power computer programmes that translate text from one language to another, respond to spoken commands, and quickly summarise VAST amounts of material—even in real-time. Voice-activated GPS systems, digital assistants, speech-to-text dictation software, customer CARE chatbots, and other consumer conveniences are all examples of NLP in action. However, NLP is increasingly being used in corporate solutions to help businesses streamline operations, boost EMPLOYEE productivity, and streamline important business processes.

Introduction to Natural Language Processing (NLP)

Answer»

Natural language processing (NLP) is a BRANCH of linguistics, computer science, and artificial intelligence that studies how computers interact with human language, PARTICULARLY how to design computers to process and analyse massive amounts of natural language data. Google Assistant from Google, Siri speech assistance from Apple, are examples of Natural language processing.

Computational linguistics—rule-based human language modelling—is combined with statistical, machine learning, and deep learning models in NLP. These technologies, when used together, allow computers to process human language in the form of text or speech data and 'understand' its full meaning, including the speaker's or writer's intent and sentiment. NLP is used to power computer programmes that translate text from one language to another, respond to spoken commands, and quickly summarise VAST amounts of material—even in real-time. Voice-activated GPS systems, digital assistants, speech-to-text dictation software, customer CARE chatbots, and other consumer conveniences are all examples of NLP in action. However, NLP is increasingly being used in corporate solutions to help businesses streamline operations, boost EMPLOYEE productivity, and streamline important business processes.

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