What is Natural Language Processing (NLP)? What are the applications of NLP?

Natural Language Processing (NLP) is a field concerned with the interaction between computers and natural human language. This is a machine-learning technology that helps computers understand, analyze, and generate natural human language.

If you want to learn more about the concept of Natural Language Processing (NLP), please take some time to follow upcoming content from AZCoin!

What is Natural Language Processing (NLP)?

Natural Language Processing (NLP) is a field in artificial intelligence and computer science whose goal is to give computers the ability to interpret, interact with, and understand human language. In simple words, it helps computers understand and use normal human language.

Natural Language Processing is divided into 2 main areas, including:

• Linguistics: The main focus is on the study of phonetics, phonology, syntax, semantics, and pragmatics of human language.
• Computer Science: The main focus is on converting in-depth knowledge of linguistics into computer programs.

Both are generally not an easy job because helping computers recognize and understand human language is relatively difficult. But despite the difficulties, at present, this field has made many great strides and has produced many modern application products, which we will learn about in the upcoming sections.

What benefits from Natural Language Processing (NLP)?

Despite its difficulties, Natural Language Processing (NLP) is still an extremely important job because of the values it brings such as:

• Helps computers understand the meaning of text or conversation, thereby allowing the processing, analysis, and storage of large documents.
• Allows computers to analyze emotions and opinions in text, understand user responses and reactions, and provide automated responses.
• Helps computers perform the job of translating from one language to another automatically, quickly, and more effectively.
• Forming interaction between people and computers, thereby creating modern applications and tools such as chatbots, virtual assistants,…
• Allows computers to extract information from text or voice content, thereby creating documents automatically.

Besides, if you are interested in content about artificial intelligence, please take a look at What is AI Research, What is an AI Writing Tool,…

How does Natural Language Processing (NLP) work?

Because Natural Language Processing (NLP) is a relatively complex job, here we will describe the process, but it will be easier to understand and more concise:

• Collect data: First, researchers must load and supplement information data in written or voice form from all different sources, such as books, newspapers, social networks, emails, and audio recordings. ,….
• Data processing: After being collected to a certain level, the data will be broken down and then analyzed using machine learning and artificial intelligence techniques.
• Data analysis: After being analyzed by machine learning and artificial intelligence techniques, the data will be sent to the NLP system, which is responsible for extracting information, and determining the meaning and context of the data. Whether.
• Language generation: Finally, the NLP system will use the data that has been successfully extracted and analyzed for tasks such as creating new text, translating languages, or answering questions from humans.

How is Natural Language Processing (NLP) applied?

As mentioned before, Natural Language Processing (NLP) has been making great strides, creating widely applied products such as:

• Automated customer support assistant: It is a smart application, capable of interacting with users through text or voice as well as answering questions, providing information, or supporting users on specific issues.
• Machine translation: An application with the ability to translate text from one language to another after receiving text or voice information from the user.
• Analyzing emotions and opinions: A special application, specialized for analyzing emotions and opinions in social network posts, product comments, or feedback from users, often used by businesses or organizations to assist in allowing easier trend capture.
• Classification and labeling: An application that can quickly check document content and then directly classify and label that document. This is an application commonly found in email utilities.
• Editing support: The application can receive and analyze information from users to write content as required, some typical examples are QuillBot, AI-Writer,…

The above are just some of the popular and outstanding applications of Natural Language Processing at present and there will certainly be more in the future.

Conclusion

We have finally come together to learn all the most general and easy-to-understand information about the field of Natural Language Processing (NLP). Hopefully, we have helped you better understand this special field, and see you again from AZcoin.