During the recent time periods, rapid growth within the field including dialogue systems has been visualized for making such systems automatically responsive towards human language. Conversational agents, specifically chatbots are purposefully approached for simulating interaction with humans. This is an enhancement within field of artificial intelligence (AI) as well as natural language processing also termed as NLP. Chatbots used for customer support systems utilize various machine learning models for example - retrieval learning, sequence-sequence learning, etc. The chatbots are utilized for interaction between humans and the systems through natural language in form of text, speech or a combination of both Such algorithms have seen advancements related to chatbots and dialogue systems while acting as a bridge of communication. These algorithms are applied on datasets acquired from customer support related to customer services of various companies. The experiments evaluate customer services through machine translation and text summarization in terms of word overlapping and similarities between chatbots responses and human responses to customer queries.
Skip Nav Destination
Article navigation
27 February 2023
3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL AND EXPERIMENTAL METHODS IN MECHANICAL ENGINEERING (11-13 FEBRUARY-2021): Organized by the Department of Mechanical Engineering, G.L. Bajaj Institute of Technology and Management, Greater Noida, Uttar Pradesh, India
11–13 February 2021
Greater Noida, India
Research Article|
February 27 2023
Conversational natural language processing for automated customer support services
Amritpal Kaur;
Amritpal Kaur
a
1
Department of Computer Science and Engineering, Shree Guru Gobind Singh Tricentenary University
, Gurugram-Badli Road, Gurugram, India
aCorresponding Author: [email protected]
Search for other works by this author on:
Amrit Singh
Amrit Singh
b
1
Department of Computer Science and Engineering, Shree Guru Gobind Singh Tricentenary University
, Gurugram-Badli Road, Gurugram, India
Search for other works by this author on:
aCorresponding Author: [email protected]
AIP Conf. Proc. 2427, 020101 (2023)
Citation
Amritpal Kaur, Amrit Singh; Conversational natural language processing for automated customer support services. AIP Conf. Proc. 27 February 2023; 2427 (1): 020101. https://doi.org/10.1063/5.0100875
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
Inkjet- and flextrail-printing of silicon polymer-based inks for local passivating contacts
Zohreh Kiaee, Andreas Lösel, et al.
Effect of coupling agent type on the self-cleaning and anti-reflective behaviour of advance nanocoating for PV panels application
Taha Tareq Mohammed, Hadia Kadhim Judran, et al.
Design of a 100 MW solar power plant on wetland in Bangladesh
Apu Kowsar, Sumon Chandra Debnath, et al.
Related Content
Crime information collection system using chatbot
AIP Conf. Proc. (November 2023)
Flower shop mobile chatbot
AIP Conf. Proc. (June 2024)
A college enquiry text-based AI chatbot using python
AIP Conf. Proc. (January 2025)
Medical communication: Designing an enhanced health care chatbot for instructive conversations
AIP Conf. Proc. (January 2025)
A survey on artificial intelligence (AI) chatbots and language models
AIP Conf. Proc. (February 2025)