Abstract
In customer support, chatbot by using machine learning customer can converse by a chatbot and acquire the query intent information. With the enhancement of globalization and industrialization, it becomes a problem for enterprises to interact with the customer and listen to their difficulties to a big extent. Chatbots make ease the pain that the industries nowadays facing. The aim of this chatbot is to support and reply to the client by giving him/her the relevant intent depending on the query request from the customers.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Nimavat, K., Chempanaria, T.: Chatbots: an overview types, architecture, tools and future possibilities
Bird, S.: NLTK: the natural language toolkit, pp. 69–72 (2006)
Yordanov, V.: Introduction to NLP for text. https://towardsdatascience.com/introduction-to-natural-language-processing-for-text-df845750fb63
Mitchell, T.M.: Machine Learning, 1st edn. McGraw Hill Education (2017)
Weizenbaum, J.: ELIZA–a computer program for the study of natural language communication between man and machine. Commun. ACM 9(1), 36–45 (1966)
Selvi, V., Saranya, S., Chidida, K., Abarna R.: Chatbot and bullyfree chat. In: International Conference on Systems Computation Automation and Networking (2019)
Keikha, M., Park, J.H., Croft, W.B., Sanderson, M.: Retrieving passages and finding answers. In: Proceedings of Australasian Document Computing Symposium, pp. 81–84 (2014)
Nguyen, T., et al.: MS MARCO: a human generated machine reading comprehension dataset. In: Proceedings of 30th Conference on Neural Information Processing Systems Workshop, p. 10 (2016)
Bernstein, M.S., Teevan, J., Dumais, S., Liebling, D., Horvitz, E.: Direct answers for search queries in the long tail. In: Proceedings of SIGCHI Conference on Human Factors Computing Systems, pp. 237–246 (2012)
Haller, E., Rebedea, T.: Designing a chat-bot that simulates an historical figure. IEEE Conference Publications (2013)
Kolomiyets, O., Moens, M.-F.: A survey on question answering technology from an information retrieval perspective. Inf. Sci. 181(24), 5412–5434 (2011)
Molnár, G., Szűts, Z.: The role of chatbots in formal education. In: IEEE 16th International Symposium on Intelligent Systems and Informatics, SISY 2018, Subotica, Serbia (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Madana Mohana, R., Pitty, N., Lalitha Surya Kumari, P. (2021). Customer Support Chatbot Using Machine Learning. In: Satapathy, S., Zhang, YD., Bhateja, V., Majhi, R. (eds) Intelligent Data Engineering and Analytics. Advances in Intelligent Systems and Computing, vol 1177. Springer, Singapore. https://doi.org/10.1007/978-981-15-5679-1_42
Download citation
DOI: https://doi.org/10.1007/978-981-15-5679-1_42
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-5678-4
Online ISBN: 978-981-15-5679-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)