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Chatbot for Insurance Business

Journal: International Journal of Trend in Scientific Research and Development (Vol.4, No. 5)

Publication Date:

Authors : ;

Page : 738-742

Keywords : Artificial Intelligence;

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Chatbot are the new way for individuals to interact with Web and Mobile Applications. Traditionally, to get a query for a product or application resolved had to contact call center or helpline no's. A chatbot allows a user to simply ask questions in the same manner that they would ask a call center or helpline no. Alexa and Siri are the most popular voice chatbots. However, chatbots are currently being used by a lot of product and servicing based companies for user friendly interaction with customers. The technology that is being use for chatbot development is natural language processing “NLP” . The technological advancement in machine learning have greatly improved the accuracy and effectiveness of natural language processing, making chatbots a viable option for many organizations. With technological advancements in NLP we should be able to have continuous improvement in the effectiveness of chatbots in the years to come. A basic chatbot can be created by providing the bot with some basic frequently asked questions by customers or users and answers to the questions. By implementing chatbot into the organization's enterprise software the functionality of the organization can be improved, allowing organizational questions to be answered, like “What is policy count for today ”, or “What is the status of policy ” or ”What no of policies issued ”. Today's commercial chatbots are dependent on platforms created by the technology giants for their natural language processing. These include Microsoft Cognitive Services, Google Cloud Natural Language API, Facebook Deep Text, and Amazon Lex. Platforms where chatbots are deployed include various business platforms like E Commerce sites, Insurance companies, Banks and other customer support services. Subham Singh "Chatbot for Insurance Business" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5 , August 2020, URL: Paper Url :

Last modified: 2020-09-22 14:03:28