Why NLP is a must for your chatbot

At RST Software, we specialize in developing custom software solutions tailored to your organization’s specific needs. If enhancing your customer service and operational efficiency is on your agenda, let’s talk. Beyond transforming support, other types of repetitive tasks are ideal for integrating NLP chatbot in business operations.

• In order to implement NLP, you need to analyze your chatbot and have a clear idea of what you want to accomplish with it.
• These queries are aided with quick links for even faster customer service and improved customer satisfaction.
• Engineers are able to do this by giving the computer and “NLP training”.
• Human reps will simply field fewer calls per day and focus almost exclusively on more advanced issues and proactive measures.
• This beginner’s guide will go over the steps to build a simple chatbot using NLP techniques.

This tool is perfect for ecommerce stores as it provides customer support and helps with lead generation. Plus, you don’t have to train it since the tool does so itself based on the information available on your website and FAQ pages. To show you how easy it is to create an NLP conversational chatbot, we’ll use Tidio. It’s a visual drag-and-drop builder with support for natural language processing and chatbot intent recognition.

NLP or Natural Language Processing Chatbots

It will show how the chatbot should respond to different user inputs and actions. You can use the drag-and-drop blocks to create custom conversation trees. Some blocks can randomize the chatbot’s response, make the chat more interactive, or send the user to a human agent. All you have to do is set up separate bot workflows for different user intents based on common requests. These platforms have some of the easiest and best NLP engines for bots.

For instance, a B2C ecommerce store catering to younger audiences might want a more conversational, laid-back tone. However, a chatbot for a medical center, law firm, or serious B2B enterprise may want to keep things strictly professional nlp for chatbot at all times. Disney used NLP technology to create a chatbot based on a character from the popular 2016 movie, Zootopia. Users can actually converse with Officer Judy Hopps, who needs help solving a series of crimes.

Tasks in NLP

As a part of this, choosing right NLP Engine is a very crucial point because it really depends on organizational priorities and intentions. Often developers and businesses are getting confused on which NLP to choose. The choice between cloud and in-house is a decision that would be influenced by what features the business needs. If your business needs a highly capable chatbot with custom dialogue facility and security, you might want to develop your own engine. In some cases, in-house NLP engines do offer matured natural language understanding components, cloud providers are not as strong in dialogue management.

To build an NLP powered chatbot, you need to train your chatbot with datasets of training phrases. And this is for customers requesting the most basic account information. This allows chatbots to understand customer intent, offering more valuable support. By the end of this guide, beginners will have a solid understanding of NLP and chatbots and will be equipped with the knowledge and skills needed to build their chatbots.

For this, computers need to be able to understand human speech and its differences. By implementing these strategies, you can enhance the accuracy, robustness, and user satisfaction of an intent-based chatbot. In this step, we create the training data by converting the documents into a bag-of-words representation. We iterate through each document, create a bag-of-words array with 1 if a word is present in the pattern, and append the corresponding output row with a ‘1’ for the current intent and ‘0’ for other intents.

AWeber, a leading email marketing platform, utilizes an NLP chatbot to improve their customer service and satisfaction. AWeber noticed that live chat was becoming a preferred support method for their customers and prospects, and leveraged it to provide 24/7 support worldwide. They increased their sales and quality assurance chat satisfaction from 92% to 95%.