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| NLP Components, Application and steps in AI |
What is NLP in AI?
NLP, also known as Natural Language Processing, is a branch of computer science and artificial intelligence (AI) dedicated to understanding human-computer interactions through natural language.NLP aims to create tools and algorithms and that let
machines produce, comprehend and understand human languages.
NLP techniques are utilized in various applications like
search engines, translation machine and
question answering. Recent advancements in deep learning have improved NLP
performance, but understanding computational and linguistic principles remains
a challenge in this active field.
Components of NLP
NLP contains two components.
Natural Language Understanding
Natural language understanding (NLU) is the process of using
software program to recognize spoken or written language input as sentences.
Natural Language Generation
NLG refers to the process of creating spoken or written narratives from a dataset using artificial intelligence (AI) programming.
Steps in
Five NLP processing steps are used by the best NLP solutions
to evaluate oral and written messages.
Utilize NLP efficiently in your voice and text applications by
understanding these NLP steps.
Lexical Analysis
Lexical analysis is the initial step in NLP.
Syntactic analysis
The way words and phrases fit together to form sentences in
a language is known as its syntax. Syntactic analysis verifies that word orders
follow correct grammar.
Semantic analysis
Semantic analysis is a technique in natural language
processing that involves understanding the meaning of the sentence in order to know the
intended meaning of a sentence or paragraph.
Discourse integration
The meaning of any sentence is identified from meaning of the
text that comes before it. It also clarifies the meaning of the sentence that
comes right after.
Pragmatic analysis
Pragmatism is a method of interpreting the intended meaning
of language, aiming to derive the intended meaning rather than the literal
meaning.
Applications of Natural Language Processing (NLP) in AI :
Spam Filters
NLP is utilized in Gmail to identify legitimate emails and
spam, analyzing the text within each email to determine its intended meaning.
Question Answering
The goal of question answering is to create automated
systems that can respond to queries from people in their original language.
Summarizing Information
NLP aids in deciphering long documents or articles on the
internet, providing concise summaries for faster comprehension by humans.
Machine Translation
Text or speech can be translated between natural languages
using machine translation.
Social media monitoring
NLP is a powerful tool that helps companies process
unstructured social media data. It is enabling them to analyze and improve
their products and services, thereby providing valuable insights for businesses
in the digital age.
