In this blog, we will talk about some actual life use cases where NLP impacts you, and by looking at those real world cases, we will understand what NLP is.We will find out how email filters are one of the most basic and initial applications of NLP online, predictive text, digital phone calls and smart assistants are using natural language processing to process the data and draw inferences.
The first use case is Gmail. When you're typing any sentence in your Gmail, you will notice that it tries to auto-complete. See here, it says if it changes in the future, and this auto-completion is done using NLP. The other standard use case is spam filters.
If these emails didn't have spam filters, then you will be so much worried, and you will get so much headache by this bombarding of all kinds of commercial spam, but luckily using NLP, you can filter them, and you can take them out of your inbox, and in NLP they use these keywords.
The spam emails will have things like hurry up, the offer ends, and you want some prize and all of that bull shit. So based on some of those terms and using some machine learning-based classification model, you can filter the spam messages.
The other real world case is language translation where you can using where using google translate you can pretty much translate a sentence in one language to another language, with very high accuracy. This wasn't possible many years back, but nowadays, these translators are pretty good.
The other everyday use case is the customer service chatbot. So nowadays, if you are using any service, let's say a bank, and you go to their chat service, you type in a message, and often there is no human on the other hand.
The chatbot can interpret your language the question you are asking, and it can derive intent out of it, and it can respond to your question on its own, and sometimes when it doesn't work well, they connect it to human beings. So chatbots are becoming a significant use case in NLP.
The other standard is the voice assistants such as Amazon, Alexa, and Google Assistant. With Google Pixel phone upon inquiring what appointments you can havepossibly tomorrow, you will be shown data. So these voice assistants are becoming very powerful. If you have amazon Alex, Google assistant at home, they can even tell you about meetings, and traffic updates.
Google search uses NLP to answer your question, and they use this particular language model called BERT. So before BERT, if you type this question in google saying can you get medicine for someone pharmacy. See, before that, it wasn't giving you the correct answer, but now it gives you a precise answer, and this is again possible because of the use of natural language processing.
Bloomberg automate the news stories to predict market events.Automated news generation for news companies is the excellent use of data science in 2022 generated by computer using NLP, using some AI techniques, they detect some signals, and they can auto write these stories, and that's pretty cool. There are many other use cases as well. Still, to summarize, NLP is a field in computer science and AI that gives machines an ability to understand human language better and assist it in language-related tasks.
If you look at computers, traditionally, they are designed to work on numbers, and they were pretty good at working at jobs that are related to numbers, but now using NLP, you can have computer assist you in language-related tasks.
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