Machine learning implementation using bots

Abstract

For advanced human-computer interaction, research on natural language processing is on trend, resulting in the development of innate and natural interaction modalities, such as chatbots. A chatbot is a software application that makes it possible to conduct conversations in a natural language for various user queries in an online mode, thus grabbing much attention in business and commercial applications. Various chatbot models have been reported previously, but no comprehensive chatbot model has been available for processing all human languages under all user applications. As a result, researchers have started to dedicate their efforts to develop their own chatbot model based on a specific language for some specific applications. With this specific goal, we have proposed a chatbot model for conservation in the English language that handles queries in the sociological domain based on a hybrid approach. The proposed chatbot model using generative and retrieval techniques, can handle one-word as well as descriptive responses to user sociological queries. We claim that the proposed chatbot can meet the needs of small-to medium-sized organizations for their research queries, and that this model is comparatively more interactive, easy to maintain, and cost-effective against the previous models.