Best Natural Language Processing Applications: A blog around NLP applications.

We have certainly come a long way from imagining that the future will have flying

cars and talking dogs, where evolution was certainly overhyped to talking and

commanding the non-living things on which our lives depend now for making our

day-to-day work easier. Pretty sure only a handful of people in their wildest dream

ever thought of this.

Imagine someone 20 years ago telling you on the street that he was able to talk to

his phone and his/her phone was able to talk back to him and was able to solve

problems and do work for its owner. This is very common these days with us using

Siri, Google Assistant, and Alexa. All of this is possible due to the modern phenomena

of Natural Language Processing.

Natural Language Processing allows your device to hear what you say, then

understand the hidden meaning in your sentence, and finally act on that meaning.

And all of this is completed in 5 seconds! But the question this brings is What exactly

is Natural Language Processing? And how does it work? So let’s see the answer to

this first.

What is Natural Language Processing?

Natural Language Processing is a part of artificial intelligence that aims to teach the

human language with all its complexities to computers. This is so that machines can

understand and interpret the human language to eventually understand human

communication in a better way. Natural Language Processing is a cross among

many different fields such as artificial intelligence, computational linguistics,

human-computer interaction, etc. There are many different methods in NLP to

understand human language which include statistical and machine learning

methods. These involve breaking down human language into its most basic pieces

and then understanding how these pieces relate to each other and work together to

create meanings in sentences.

And why is Natural Language Processing important, you wonder? Well, it allows

computers to understand human language and then analyze huge amounts of

language-based data in an unbiased way. This is very difficult for humans to

accomplish. In addition to that, there are thousands of human languages in

hundreds of dialects that are spoken in different ways by different ways. NLP helps

resolve the ambiguities in language and creates structured data from a very

complex, muddled, and unstructured source.

This is the reason that Natural Language Processing has many diverse applications

these days in fields ranging from IT to telecommunications to academics. So, let’s see

these applications now.