Language Processing (LP) or Natural Language Processing (NLP) are terms that are still unknown to the general public even though they represent areas of technological advances whose applications are becoming essential and widespread in our current world.
This article aims to explain the terms “natural language processing”, “artificial intelligence”, “semantic analysis” and “clustering”. These are the most important concepts if you truly want to understand NLP and its uses in both personal and business environments.
Natural Language Processing
The concept of natural language processing is very old and is seeped into our literature and public consciousness. Who has never read a story of computer programs capable of understanding the language of humans and providing appropriate responses without any external intervention being necessary? This isn’t only stories and science fiction anymore, however. Many websites offer chatbots and sales assistants that can recognize human language and reply with personalized responses. NLP and AI can already be found on certain websites and are already very present in our time.
So what exactly is NLP? The terms LP and NLP generally represent computer processing capable of automatically “processing” (therefore only using computers) natural language (languages spoken by humans such as English, Chinese, etc.).
Much more than the simple recognition of simple terms and common phrases, the goal of NLP is really to “understand” the meaning of sentences, the ideas that emerge from them. This is for the purpose to enable computers to understand humans and be able to communicate with them seamlessly, which would be a massive step in artificial intelligence.
The applications of NLP are almost endless, but below you’ll find some of the most common ones: :
– to provide an answer adapted to the idea expressed in a question by a human.
– to group similar sentences/texts to extract useful statistics and information.
– to transform original texts into more useful forms (summaries, translations, etc.)
– extracting one or more precise information from one or more texts, which allows the computer to extract information much more simply. Traditionally, you have to input the information explicitly in a form the computer understands.
– And in general, all that relates to the manipulation, classification, and understanding of natural languages falls under NLP.
With all these applications, many businesses would benefit from NLP consulting to use the latest cutting tech technologies.
Natural language processing, by its very nature allowing computers to “understand” human languages, is one of the subsets of what is called artificial intelligence.
What is Artificial Intelligence
artificial intelligence (AI) represents the concept of computer algorithms aimed at empowering machines to perform “tasks” normally achievable only by beings endowed with intelligence (reasoning ability).
In other words, artificial intelligence refers to the set of algorithms aiming to “simulate” human reasoning and intelligence at the level of a machine. NLP is clearly a subset of this.