What is NLP, natural language processing?

Today, even when interacting with technology, companies need to feed their way to establish a relationship with their masses in order to be satisfied at all times.

In this context, natural language processing, also NLP directly simplifies the understanding of human behavior by machines..

In this article, you will know what this technology is and how to move in your business, and you will further improve communication with your customer. Look down!

What is NLP?

The NLP abbreviation shows the processing of natural expression language, which means natural language processing in Portuguese.

This is a Artificial intelligence with participation Calculation can combine linguistics (based on human language rules) with the statistical models of machine learning and deep learning.

The concept of NLP was launched in the 1950s when the mathematician Alan Turing wrote the SO -Called Turing test, which was used as a criterion to evaluate automatic intelligence, and the article “Calculator Machines and Intelligence” article.

Since then, there have been many evaluations and evolution in the concept that came to the maturation of natural language processing today. These protocols allow robot communication to be personality and quality, allowing them to automate various company activities.

In general, NLP usually Chatbots And other automatic communication sources. Like this, It may be useful in other applications that cooperate to improve the results And as a result, to cooperate with the increase in profit.

As a result, a company can position its difference against its competitors.

How does natural language processing work?

In general, NLP’s work includes different steps that serve robots to effectively interpret human communication with customers. Let’s see the most common below.

Lexical analysis

It is used to divide a sentence into several words or structure to facilitate the interpretation of computers.

Each unit turns token It is interpreted together, which makes sense of communication and contributes to the efficiency of language processing.

Syntactic analysis

Which step Definition and interpretation tokenThe expressions used in communication. This requires standardization of structures, causing expressions to be organized at the hierarchical level, which provides joint analysis.

Semantic analysis

It acts in the relationship of syntactic structures through the analysis of sentences, prayers and sentences. It also includes the distinction between vocabulary types such as verbs, names and prepositions and variations that contain problems such as gender, number and time.

This enables the manuscript to be understood by the machine that observes independent meanings as a whole.

Pragmatic analysis

The perception of the intention of the text is related to differentiating factors such as irony, uncertainty or mood.

Emotion analysis

It tries to label the emotional tone of a text, words, sentences and expressions as positive, negative or neutral.

Recognition of naming beings

In a text, people observe and classify the so -called beings called places, places, dates and organizations.

Output transformation

After the semantic analysis is performed, there is an output that helps the computer to understand the meaning of the text or speech. This serves to program the tools using this solution and then produce appropriate answers.

Where is the use of NLP?

NLP usually used As a way to use the technology in your own benefit, in companies and organizations, Development of the service provided to customers due to communication improvements.

Here are the most common works of these resources:

Customer Experience Analysis

Usually, service Chatbots It is considered unpleasant by customers because it comes overly mechanical and recurrent. In this sense, NLP is widely used to analyze emotion of contact consumers.

This can then be used to better understand your audience and thus develop company products, complete the information collected by research, such as research, Call centers and focus groups. This can still be made more agile than the most traditional methods.

Use it in question and answer programming

You Chatbots They can offer automatic and ready answers to repetitive questions requested by customers. To do this, they deal with a number of issues that may include insignificant questions, lists, definitions and other questions.

NLP enters as a form Improve this Question and Answer SystemBecause it can use more specialized and complex information to organize it.

Data collection

Natural language processing can be used to collect valuable information from different places used to provide (such as social networks, platforms and press tools). insight About the customer decision -making process when they make a purchase process.

Threat detection

When combined with machine learning process, NLP can also be used in technologies that help fight fraud.

This takes place through the evaluation of the molds and behaviors of possible fraudsters by acting proactively to detect and prevent these threats.

What are the benefits of using NLP?

The use of natural language processing can be very advantageous for companies that want to maintain a high customer service standards. Here is the main advantages of using this technology.

Improved Customer Experience

Perhaps the main advantage is this: Technology makes computers Develop the skills of interpreting and understanding the aspects of natural language, Conspiracy is that the customer interaction experience is much more satisfactory.

That is, even if the consumer understands that he interacts with an artificial intelligence tool, he thinks that there are humanized aspects in this communication and makes him feel more comfortable and is likely to return to the store.

Process Optimization

The automation of natural language processing may cause the company to increase as the number of customers offered at any time of the day increases. Thus, the service never stops working and human workers begin to focus on more strategic tasks.

Emergence insight

With NLP, it is also possible to remove data and information that transmits to the company. insight valuable about your audience.

Therefore, a large amount of data that is impossible to be handled in another way is collected. This information is saved and can be used in future analyzes, still minimizes possible errors in strategies to be planned and executed.

Data accuracy

NLP technology makes collected data more complex and correct. For example, instead of an interview, you can go to the analysis of the “parts” of consumer interaction.

This action, perhaps the facts they will not intentionally say. This possibility is the management of more inputs that can be used in the strategic planning of the company.

5 Natural Language Processing Samples

Finally, it should be noted that NLP is already available in various business systems used in different functions. Technology works are many and can still expand. Here are 5 examples of how this happens:

1. digital phone calls

Some companies use a language produced by a computer similar to human voice. It is then used in automatic phone call to make an appointment such as oil exchanges or haircuts.

In this way, robots become much more enjoyable and meet customer needs well.

2. Research Results

NLP can be used in one e-commerce To make research mechanisms more efficient as they enable them to show the relevant results based on similar research behaviors or user intention.

Thus, ordinary people can find what they need without having to know the exact search terms to search.

3. Finding Text

The similar strategy results in generic responses in the text section with automatic filling that occurs according to the client profile rather than the system.

As the technologies learn from the user, how long the foresight uses the text, more personalization in the results.

4. Smart Virtual Assistants

With the use of NLP, Intelligent virtual assistants come to understand the contextual tips that help improve people’s livesEven when shopping.

By learning the profile of the owners, they bring more specific answers that consider their needs and desires.

5. Boots personalized

Finally, NLP can make the purchase process of its customers more fun. boots This may concern the customer and bring them to the screen they need to do exactly.

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