What is natural language processing and its phases and uses

What is natural language processing(NLP) and its phases and uses

What is Natural language processing(NLP)?

Natural Language Processing (NLP) is the ability of a computer program to understand the language spoken and written. It is called natural language. This project is part of Artificial Intelligence AI.

The NLP has existed for over fifty years and has its roots in the field of linguistics. It has a wide range of real-world application mindsets in a variety of fields, including medical research, search engine and business intelligence.

NLP stands for Natural Language Processing which is part of Computer Science Human Language and Artificial Intelligence. This is the same technology used by machines to manipulate, interpret and interpret human languages. This allows developers to organize organized knowledge to perform tasks such as translation, automated summaries, identity identification (NER), speech recognition, relationship extraction, and title differentiation.

Natural Language Processing (N LP) Artificial Intelligence is a branch of AI that enables human language to be understood by machines. Combines the power of NLP, linguistics, and computer science for intelligent systems (machine learning and NLP algorithms) capable of studying the theory and structure of language and understanding and analyzing meaning from text and speech.

What are Steps/Phases of Natural Language Processing in AI?

There are the following five Steps/Phases of NLP:

1.           Morphological and Lexical Analysis
2.           Syntactic Analysis
3.           Semantic analysis.                
4.      Discourse Integration.               
5.      Pragmatic Analysis

1.   Morphological and Lexical Analysis

Lexical analysis-This includes identifying and analyzing word structure. A dictionary of a language means a collection of words and phrases in a language. Lexical analysis divides the whole text into paragraphs, sentences and words.

2.   Syntactic Analysis

Syntactic Analysis (parsing)-This involves analyzing the words in a grammar sentence and arranging the words in a way that shows the relationship between the words. The English syntactic analyzer rejected the phrase "school goes to the boy".

3.   Semantic Analysis

Semantic Analysis - It extracts the exact meaning from the text or the meaning of the dictionary. The text has been checked for meaning. Task is done by mapping artificial structures and objects. Cement analysts ignore phrases like "hot ice cream".

4.   Discourse Integration

Discourse Integration - The meaning of any sentence depends on the meaning of the before sentence. In addition, it immediately brings meaning to successful sentences.

5.   Pragmatic Analysis

Practical Analysis - In the meantime, what was said is re-interpreted to mean what it really meant. It involves deriving those aspects of the language that require real-world knowledge.

What are the uses of Natural Language Processing (NLP)?

Top 10 applications of natural language processing

•  Introduction: Natural language processing is one of the hottest topics in data    science
• Complete automatically and self
• Language Translator
• Social Media Monitoring
• Chat Bots
• Target Advertising
• Jobs and Recruitment
• Voice Assistants
• Grammar Checkers

 

What are the advantages of natural language processing(NLP)?

•       Perform large-scale analysis
•       Get a more objective and accurate analysis
•       Smooth processes and reduce costs
•       Improve customer satisfaction
•       Better understand your market
•       Empower your employees   
•       Gain real practical insights     

What are the disadvantages of natural language processing(NLP)?

• Complex Query Language - The system may not be able to answer the question correctly if the word is incorrect or ambiguous.
• This system is designed for a specific and specific purpose only. They are unable to adapt to new domains and worries due to limited functions.
• The NLP system lacks a user interface that lacks features that allow users to interact more with the system.