Building Chatbots With Natural Language Processing(NLP)

NLP-based chatbots have enabled the industry to cut down costs to a great extent by reducing overall expenses incurred earlier due to manpower and other resources to perform the repetitive tasks. This, in turn, enables industries to enhance the efficiency and productivity in operations.

Let’s understand what’s NLP

What is Natural Language Processing( NLP ) and how does it work? 

NLP refers to a branch of artificial intelligence that is concerned with the interactions between computer systems and human languages. Integrating Natural Language Processing(NLP) in chatbots comes with an opportunity to train the chatbot on various text inputs and streamline those responses to deliver accurate results. It allows the chatbot to understand clients’ messages and respond to queries appropriately. NLP enables the chatbot to differentiate between responses as it provides meaning to the text-based inputs and creates a suitable response.

NLP has the ability to overcome natural language barriers by eliminating spelling and grammatical errors that allow the chatbot to correctly interpret the input message and respond accordingly. It offers a chatbot the ability to carry out a meaningful conversation with the user. There are queries that are beyond the scope of a chatbot which make it necessary for the IT industry to integrate natural language processing that works with artificial intelligence and machine learning algorithms that can train the chatbot on multiple levels of conversation, enabling the bot to assess and interpret queries on a wider scope.

NLP functionalities:

• NLP can interpret the complete sentence by analyzing broken user-inputs through chatbots by studying various factors of a human speech, that include, conjugation, positioning, and other such factors. It focuses on how technology responds to human language inputs and interprets the text accurately.
• NLP uses machine learning algorithms that enable the chatbot to continuously add new words and synonyms that help expand its vocabulary. The use of Natural Language Processing has also allowed transferring the vocabulary from one chatbot to another, which was not possible earlier with the use of traditional technologies.

The use of NLP-based chatbots has enabled several industries to overcome the problem of language variations. Earlier, chatbots used to process the pre-fed static data which had a number of variations that made the process cumbersome. The use of NLP has eliminated this issue as Natural Language Processing has the ability to analyze language semantics and other speech phrases and structures that helps the chatbot analyze a vast amount of unstructured data and enables the chatbot to understand different nuances of the text.

NLP-Chatbot integration and how it helps

The chatbot integrated with Natural Language Processing has enabled the industries to shift their focus on more important tasks as it takes the responsibility of tasks such as customer service, thereby, cutting down the resources from these areas and allocating these resources to core operations of the organization. The employees can now focus on critical operations that enhance their creativity and innovation and deliver the desired results without any delays. The reduced costs with the use of these advanced technologies have helped in enhancing the profitability of the organization and streamline the workflow to a great extent.

The integration of Natural Language Processing has enabled the chatbot to understand the intent behind a sentence that has made it more humanized and personal in the chats. The automated tasks and use of various algorithms to understand the text better also helps to make communication with users more efficient, which, in turn, leads to improved customer satisfaction.

The chats have become more personalized and chatbots are trained to develop default responses to eliminate the redundancy and the need to respond to similar queries time and again. The use of Natural Language Processing in chatbots has made these responses more tailored and unique, thereby, improving the customer experience by responding as per their needs.

Integration of Natural Language Processing for building chatbots has eliminated the loopholes of traditional chatbots and made the process more productive. The organizations have been benefited to a great extent from the use of advanced and innovative chatbots. The immediate assistance to customers’ queries has enabled organizations to build trust among customers and improve customer retention in the industry.

NLP-based chatbots have also helped in enabling industries to save a lot of time and man-hours that were earlier required for performing a range of functions such as invoice processing, customer support, human resource management, among others. The efficiency in the operations has also been improved by reducing the need to perform monotonous tasks and providing a user-friendly database for the organization.

Now, the customers are engaged with the brand for a long period of time with the use of such advanced ways of handling customer queries and delivering a user-driven experience. The customer data can easily be monitored and can be used to gain useful insights to communicate with customers efficiently. The insights can be gained from customer feedback, by tracking purchasing patterns and customer behavior.

NLP-based chatbots are becoming more and more prevalent as almost every industry is moving towards the use of this technology for handling customer support services and other such tasks. This technology has majorly contributed to simplifying the operations and delivering profitable growth.