Why Chatbots need Natural Language Processing?

natural language processing

“Chatbots will facilitate the lucrative growth of companies soon” is preordained. But, Natural Language Processing (NLP) plays a vital role in achieving this goal. Let us first try understanding the concept of NLP before we progress towards why chatbots need it.

Natural Language Processing (NLP) is a component of artificial intelligence. You can define it as the ability of a computer program to understand human languages like speech and text.

In other terms, NLP  is about how technology can meaningfully interpret and act on human language inputs.

Why do Chatbots Need Natural Language Processing (NLP)?

Chatbots can only provide little or no value if NLP is not in place. Natural Language Processing is the key element that allows chatbots to interpret your texts and respond with relevance. Whenever you type in a text saying “Hello,” the NLP process the text and lets the chatbot know that you’ve sent a standard greeting. This helps the chatbot to leverage its AI abilities and come up with a suitable response. In this instance, the chatbot would likely revert with a greeting response.

If there is no Natural Language Processing, there is no way a chatbot can’t differentiate between your “Hello” and “Goodbye” text. In the absence of NPL, both these text are nothing more than text-based inputs from a user. There is no context to these inputs. Natural Language Processing (NLP) helps provide context and meaning to text-based user inputs so that AI can come up with the best response.

natural language processing

Natural Language Processing (NLP) can Overcome Natural Communication Barriers

NLP helps in resolving some of the most common problems that plague our day-to-day communication. These issues will likely, impact our interactions with chatbots. Some of the problems include spelling and grammatical errors and poor language use in general. Advanced Natural Language Processing (NLP) assists the chatbot to understand and interpret the text despite the mistakes. Its capabilities can identify spelling and grammatical errors.

With the help of Advanced NLP, you can even understand the intent of the messages. For example, It specifies if your user is asking a question or making a statement. This might seem trivial but can have a profound impact on the way a conversation is carried and how fruitful it is with a user.

One of the most significant challenges when it comes to chatbots is the fact that users have a blank scope regarding what they can say to the chatbot. While you can try to predict what users will and will not say, there can be conversations from the user end about which you might never have imagined.

While Natural Language Processing (NLP) indeed can’t work miracles and ensure a chatbot appropriately responds to every message, it is powerful enough to make-or-break a chatbot’s success. Don’t underestimate this critical and often overlooked aspect of chatbots.

You might also want to read about Future of ChatBots – Conversational Interface

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