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What is NLP & how to use it

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

NLP, AI, ML…What are all these acronyms and why are they important for you ?

Chatbots have made much progress in the past few years. Using Artificial Intelligence to chat smarter, connecting to business tools to automate tasks and being fully customisable are some plus points.

In this article, we will have a look at what these are, and focus on NLP (Natural Language Processing) in particular.

  • First, we will run through the basics of NLPs
  • Secondly, we will go through chatbots and NLPs
  • Lastly, let’s learn how to use NLP in your chatbot.

Ready to start ? Once you go smart, you won’t go back!

What is NLP ?

Natural Language Processing algorithms or NLPs for short, help recognise human languages in order to make sense out of them. NLPs help with natural language understanding (NLU) and speech recognition.

For example, convert them into intents and entities. Intents correspond to what the user wants to do and entities correspond to the object or objects that the user is referring to.

As this type of algorithm aims to replicate a human brain, this component can be summed up as Artificial Intelligence, or AI for short.

Example : I want to buy an apple.

Intent : buy

Entity : apple

NLP intents entity example

What is it used for ?

NLP is used to facilitate conversations and avoid rigid conversational flows. Rather than have a bot that only offers clickable options, you can ask your users to type in their requests instead.

This means that users can ask their questions as they would do so normally, rather than pick from predefined options.

NLP can contain machine learning elements like deep learning. This enables your bot to learn and get better over time, simulating a human brain.

Who should use NLP ?

Anyone who would like to make their bot more interesting by making it conversational should use NLP.

If your use case is very simple, let's say an FAQ bot that offers answers to a handful of questions. Using an NLP will help you step up your FAQ game.

You could use NLP to add more questions and set up your bot such that the user can feel free to ask away. Thus, making it easy for users to use.

Chatbots and NLP

Using no-code platforms, chatbots can now be easily created by anyone. Chatbots, as their name implies, are already chatty. Add an AI component and make them chat smarter by allowing them to recognise natural human language.

This way, your users can ask away as they would ask a person and your chatbot can answer them in a precise manner. The conversation flow will be much more like a real life situation compared to a guided conversation flow.

Advantages of using NLP

Recognising what your user is really asking for helps to build a great user experience with your company.

Using NLP, deep learning or machine learning in general, will help your chatbot only get better with time. Questions that your chatbot has never encountered before can be learned and recognised as sentence variations.

Examples of NLP being used in chatbots

HR assistants, tourist services and education counsellors have to deal with a wide range of questions.

In such situations, people enjoy a conversational scenario where they can ask their questions freely.

Each person has their own story and their own problems. NLP helps to sort these different requests into categories so the bot can figure out what all this means and what it should do. There are various NLP use cases!

Creating a chatbot that uses AI

Want to start creating a chatbot ?

Click here

Already have a chatbot on our platform ?

Steps to get started :

  1. Connect your NLP account (Dialogflow, Luis, Watson, etc) to Ideta’s platform
  2. Create intents and entities (don’t forget to tag entities in your intents !)
  3. Create your bubbles so that you can link intents and entities to them
Ideta AI Chatbot Builder
Ideta’s Chatbot Builder Interface

Setting up your NLP to target bubbles :

  1. Set up your AI section
  2. Set up a comparisons bubble
  3. Set up the global NLP rules
Add NLP to chatbot
Add Intents & Entities easily with Ideta AI interface

Need help on how to set up all your settings ?

Check out our complete guide or contact us at

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