• Melvin Paul Jacob
• Debanjan Dutt
• Dheeraj Sankar N
• Om Shinde
• Sayantan Bhattacharya

Customer service is probably one of the most critical elements of the user experience. With the advancement of natural language processing techniques, the industry is looking into automated chatbot technologies to deliver high-quality service to an ever-growing user base. This paper provides a case study of such chatbot strategies. The implementation of chatbots and virtual assistants is discussed in this article. An introduction to the area of chatbots is given, as well as a quick overview of previous and existing methods used to create chatbots. The theory underlying the methods used is then presented. Deep learning methods, such as gated recurrent unit neural networks, are primarily covered. Following that, a checklist of issues resolved, basic characteristics, method of communication, services provided, accuracy, technology providers of virtual assistants is also written down.

Machine learning, Keras, Chatbot, GUI, Natural Language Processing, Virtual Assistant, Chatbot Knowledge, Chatbot Domain

"Chatbots For Customer Support", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.a165-a172, May-2021, Available :http://www.jetir.org/papers/JETIR2105020.pdf

"Chatbots For Customer Support", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppa165-a172, May-2021, Available at : http://www.jetir.org/papers/JETIR2105020.pdf