NATURAL LANGUAGE PROCESSING

In this article, we will point out addressing the following :

• What is Natural Language Processing
• Applications of Natural Language Processing
• Scope of Natural Language Processing
• Real-Life Examples of Natural Language Processing

Prerequisites - Not required

What is Natural Language Processing?

Natural Language Processing or NLP popularly is best to describe as functionality to gather information out of different language, such that to maintain an optimized cycle for a software to work best and efficient based upon data. The study of Language is necessary because to understand the demand for the specific reasons to serve better and to make sure to utilize the resources in an optimum way.

Applications of Natural Language Processing

Natural Language Processing is contributing to society in the best way to enhance the features of the machine and utilize resources for its optimum result

• Text Classification
• Sentiment Analysis
• Question- Answering module
• Automatic Summarization

Scope of Natural Language Processing

The Scope of Natural Language Processing is an obvious field that one can grow and explore oneself, to list them will better help you to understand the scope of NLP or Natural Language Processing in a better way

• The bots - popularly emphasizing the chat-bots
• Smart search -  Voice search System
• Voice UI/UX - Voice UI experience for a software 
• Filtering unwanted data.

Real-Life Examples of Natural Language Processing

• Spam Filters
• AutoComplete
• SpellCheck
• Voice Text Messaging
• Voice Assistant
• Machine Translation
• Knowledge-Based Support System
• Customer Service Automation
• Survey Analytics
• Social Media Monitoring

Conclusion

Natural Language Processing is a way that helps to understand data and to utilize it in a better way, be at automation, or voice assistant or Social Media Monitoring. Natural Language Processing with the engine of AI can do wonders and will power up for future technologies.