How NLP is used in real life?

How NLP is used in real life?

Language is an important part of how we communicate with each other. It’s the same with technology. 

At the intersection of these two things is natural language processing (NLP), which breaks the language into a format that both computers and people can understand and use.

NLP is becoming just as popular as AI because AI is being used more and more. You might not realize it, but NLP technology is all around us and affects our daily lives in many ways. 


Language is a way for people to write, read, and talk to each other. People make plans and decisions in their everyday language, especially with words. In this age of artificial intelligence, people are very interested in finding out if people and computers can talk the same way. 

Computer scientists have made applications for natural language processing (NLP) so that people can talk to computers in their language. 

NLP applications are needed for computers to understand human speech, which is often unstructured and hard to understand.

NLP has the power to bring people from all walks of life closer by making information easier to find, learning faster, and cultural exchanges more open to people from all over the world. 

NLP is the core of Siri, Google Home, and Alexa, all virtual assistants. Google, Amazon, and Apple are all on the cutting edge of voice-based Natural language processing consulting that works in more languages and places worldwide.

As technology brings the world closer together, NLP becomes more important and useful. 

Here are the common ways to use NLP.

NLP helps you type faster.

NLP lets you type faster on Google when typing a message or a search query.

  1. Predictive text suggests the next word used in a sentence.
  2. Autocomplete: This feature suggests the rest of the word.

Text messengers, search engines, websites, forms, and other things all use NLP technology at the same time to make it easier to find the information you need.

NLP for precise writing NLP makes it possible for people to write more accurately in emails, Word documents, blog posts, and Google Docs.

 Grammar checkers help users use punctuation, voice, articles, propositions, and other grammatical elements by giving suggestions in their language.

Spell checkers help users fix spelling mistakes, typos, and other mistakes based on their chosen language. For example, Grammarly uses both a spell checker and a grammar checker to help you make changes that will make your writing better.

NLP has made search better. Different NLP algorithms help you quickly find what you’re looking for when you search for something on Google or Bing. The main parts of the Google search are Query and Document Understanding. Simply put, a Query is what you type into the search box, and a Document is the page or pages that match your search. NLP is important for search functions because the pages are written in human language.

Duplicate detection: Sorts content published on more than one page or site to show a variety of search results for a given query.  Auto-correct finds the correct keyword if you misspelt it or used a less common word.

Spam detection: Get rid of spam pages that match keywords in your search query but don’t give you a good answer to your question.

NLP for constructive emails- Spam is a common problem for people who use email, but NLP can help you avoid it. NLP engines can tell the difference between different types of emails and sort them in complicated ways to prevent malware attacks, phishing links, etc.

Sorting emails into different categories. Gmail users are familiar with this feature, which sorts emails into categories like “Primary” (personal email), “Social” (Facebook notifications, etc.), and “Promotions” (company newsletters, subscriptions, etc.)

NLP can be used in many smart ways that save time, lower risks, and make it easier to get to information and other people’s experiences. 

As Artificial Intelligence (AI) and Machine Learning (ML) improve, more and more ways to use NLP, like in self-driving cars and the Internet of Things (IoT), is coming up. 

Voice assistant, which lets you talk on your phone while driving, is an early example of how NLP applications have caught up to the needs of everyday life.

Conversational bots are one of the most sought-after business applications of NLP. Using AI-powered virtual assistants, customers’ expectations and experiences are handled smoothly. 

The huge opportunity found by digital transformation starts with natural language processing (NLP) and spreads to other types of artificial intelligence that can be used in everyday life.

Contact our experts at Natural language processing consulting right now if you want to build your own intelligent, self-learning, and human-like virtual assistant to automate your business communications.

Artificial intelligence is the key to streamlining some parts of your business and cutting down on manual work that takes a lot of time and effort. 

But since you’ll probably be dealing with people, your technology needs to be able to speak the same language as them. 

Read More: What are the 5 steps in NLP?

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