Natural Language Processing and Artificial Intelligence: The Interaction of the Future

Natural Language Processing

Natural language processing (NLP) has made important strides in recent years, managing to strengthen traditional technology companies. This process streamlined the main operations of such businesses, which were able to cut costs and reduce work time for the benefit of productivity.

The main goal of NLP is to decipher, interpret, understand, and make sense of human language. Despite the remarkable advances in artificial intelligence, it is not so automatic for a machine to understand human language, as it must also have a certain knowledge of the surrounding world. Understanding the meaning of a word is not enough to interpret it, as it is necessary to understand in what context it is used.

For this reason, NLP aims to “train” an intelligent machine which, thanks to constant “training”, is able to understand human language perfectly and replicate it in a completely autonomous manner. If you want to know all the benefits deriving from NLP, just contact us at Humable. Our solutions facilitate machine self-learning by exploiting sophisticated machine learning technologies.

What is natural language processing?

Natural Language Processing e intelligenza artificiale

To understand how NLP can support your business, it makes sense to understand what it is and how it works.

All texts, both written and spoken, contain a series of information that must be analyzed and studied. This is a rather complex process, which requires time and resources. The information extracted from a text is particularly elaborate and unstructured, so time is necessary and specific skills may be required. In order to process a large amount of data, ineffective methods are often used, or the operation is even carried out manually. The more information that needs to be processed, the more difficult the work is, with a high impact on the company budget and on the amount of resources to be deployed in the field.

It is in this process that NLP plays a fundamental role which, as a result of the progress made in the field of machine learning, provides valid support to companies. Using machine learning rules, algorithms and models, NPL interprets and makes sense of human language. In this way, companies can derive numerous advantages, such as large-scale analysis, knowledge extraction from data, and real-time automation of repetitive procedures.

The various phases of NLP

The remarkable improvements brought about by artificial intelligence have made it possible to divide natural language processing into 5 phases: morpho-lexical, syntactic, semantic, speech and pragmatic.

In the morpho-lexical phase the text is read as a set of strings made up of characters, in turn divided into sentences, words, paragraphs, etc.

The syntactic phase helps to establish the relationship between words, how they are put in order and their level of grammatical correctness.

During the semantic phase , a meaning is given to each word.

All the data analyzed up to this point is integrated in the discourse phase, so as to be able to contextualize it and obtain knowledge.

Finally, in the pragmatic phase, the data is reinterpreted again according to the context.

The applications of NLP in business processes: some examples

Companies find themselves processing a huge amount of data every day, but in most cases this is not structured. The NLP systems gather this information by reading and understanding the details of any text quickly. Let’s analyze some areas in which NLP processes provide effective support.

The analysis of customer feedback on a product or service is very important for companies, but they would waste a great deal of time if they wanted to monitor every single comment. NLP systems are able to fathom and divide feedback between positive and negative, making the analysis much faster and more focused. In this way, operators can view the various comments and identify the most frequent critical issues, so as to make the appropriate changes.

The selection of personnel, which passes through the reading of CVs, is another necessary operation which, however, risks taking much time. Using appropriate NLP tools, it is possible to identify the skills in line with the job position offered, thus discarding the CVs that do not meet the requirements and focusing on those deemed most appropriate.

The automation of back-office processes, which involves extracting data from forms, is rather demanding and time-consuming work. The best solution is once again NLP.

Chatbots also deserve a mention, tools that are increasingly popular on corporate sites and e-commerce sites. Through automatic learning, chatbots acquire more information over time, so as to perfectly replace a human being and easily carry out a conversation with a customer.

Artificial intelligence represents an essential step to set foot in the future and this step must be taken now, in order not to lag behind competitors. At Humable, over time we have acquired the multidisciplinary skills necessary to overcome every obstacle, developing technological solutions capable of adapting to the different needs of each business.

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