Thank you for Subscribing to CIO Applications Weekly Brief

What is the Importance of Natural Language Processing in Chatbots

Fremont, CA: Chatbots have become critical for businesses seeking to gain recognition in today's competitive market. Chatbots enable brands to connect with their customers and interact with them in a more personal way. Chatbots have the potential to provide customer service like never before, allowing brands to increase sales. As a result, chatbots can provide opportunities to improve brand engagement, assist businesses in growing, and generate financial gains. Customers, as well as businesses, are enamored with this technology. The inconvenience of having to wait for long periods of time to speak with customer service representatives is eliminated. Furthermore, chatbots can provide answers to customers even when the business is closed. Because chatbots respond quickly and are available 24 hours a day, 69 percent of customers today prefer to converse with them rather than humans. As a result, chatbots have become a necessity for businesses to survive. Recognizing the value of these conversational agents, businesses are increasingly implementing chatbots to create unique chatbot use cases.
When chatbots were first introduced, they were unable to lead conversations. Chatbots have progressed to become sophisticated models. However, chatbots can still struggle to understand user intent and language. As a result, they must be well-trained to understand context, user intent, and sarcasm in human language.
NLP, or natural language processing, is a branch of AI that allows computer programs to understand natural human speech. NLP bridges the communication gap between complex human language and coded machines invisibly.
The Importance of NLP in Chatbots
Interacting with a chatbot that only speaks in a professional tone is tedious. Chatbots should be able to converse in the same way that humans do. That means they should tell jokes, use emojis frequently, and occasionally make typos, just like us. Consider how interesting and informative the conversation would be then! Businesses should prepare chatbots to switch between professional and casual tones in order to keep clients engaged and interested.
Chatbots, on the other hand, must be context-aware in order to conduct such human-like conversations. And training chatbots with NLP is required to achieve that capability. Chatbots can easily understand complex human language thanks to NLP. When it comes to expressing themselves, everyone has their own unique style. Chatbots that use NLP can quickly understand a person's personality and respond accordingly. Furthermore, with NLP, chatbots can better understand sarcasm, humor, and other conversational tones. To be honest, NLP gives chatbots personalities of their own.
I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info
Featured Vendors
-
Jason Vogel, Senior Director of Product Strategy & Development, Silver Wealth Technologies
James Brown, CEO, Smart Communications
Deepak Dube, Founder and CEO, Datanomers
Tory Hazard, CEO, Institutional Cash Distributors
Jean Jacques Borno, CFP®, Founder & CEO, 1787fp
-
Andrew Rudd, CEO, Advisor Software
Douglas Jones, Vice President Operations, NETSOL Technologies
Matt McCormick, CEO, AddOn Networks
Jeff Peters, President, and Co-Founder, Focalized Networks
Tom Jordan, VP, Financial Software Solutions, Digital Check Corp
Tracey Dunlap, Chief Experience Officer, Zenmonics