NLP chatbots: Build a NLP based chatbot

You have surely heard the term "Natural Language Processing" (NLP) more than once. This technology is not new, but it is true that its evolution in recent years has undergone exponential growth due to the large volumes of available data, current computing capacity and advances in the field of computer science.

What is a chatbot

A chatbot is a computer program designed to have a conversation, whether we want to ask for some kind of information or to carry out an action.

It is a technology that allows the user to have a conversation through software that is integrated into a certain messaging system, such as: Facebook, Twitter, Telegram, WhatsApp, etc.

The system is programmed to interact with the client and solve queries, without a human person answering. They have the advantage that they are always available to answer questions of users at any time of the day.

Another of the great advantages of chatbots is that, unlike applications, they are not downloaded, they do not need to be updated and they do not take up memory space. Another is that we can have several chatbots integrated into the same chat app.

This way users can avoid jumping from one app to another depending on what they need at a specific time. The main consequences? More enjoyable user experiences and faster and easier customer service interactions.

What is NLP

Natural language processing (NLP) is a field within artificial intelligence and applied linguistics that studies interactions through the use of natural language between humans and machines.

More specifically, it focuses on the processing of human communications, dividing them into parts, and identifying the most relevant elements of the message. It seeks that machines can understand, interpret and manipulate human language.

Virtual assistants or chatbots are one of the best known uses of NLP, but they are not the only one. In addition, it is important to understand that NLP does not give a chatbot intelligence, it only gives it the ability to process and generate human language. If you want to provide intelligence to a chatbot, you should use systems such as rules or neural networks.

NLP based chatbot

ChatCompose creates chatbots and phonebots that can provide support or initiate conversations to get more contacts or leads.

It uses Natural Language Processing technologies that focus on the understanding of the language or message sent, and on more general human cognitive aspects such as the intention or purpose of the communication.

Each time a message is sent, ChatCompose analyzes the message for its parts, categories, entities, n-grams and possible variants. This analysis provides insight when trying to understand the intent of the message and to match it to a possible response or action.

You can use the following tool to see an example sentence analysis.

Write a sentence to check how it's done

How do we process Language?

ENTITIES 0
n-grams 0
Variants 0 There are over
0 variants
of the same sentence
Class 0 Themes:
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