Publication:
A Visual-Based Energy Efficient Chatbot: Relationship between Sentiment Analysis and Customer Satisfaction

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dc.citedby1
dc.contributor.authorJohari N.M.en_US
dc.contributor.authorZaman H.B.en_US
dc.contributor.authorBaharin H.en_US
dc.contributor.authorNohuddin P.N.E.en_US
dc.contributor.authorid57213588806en_US
dc.contributor.authorid57226220128en_US
dc.contributor.authorid34879451300en_US
dc.contributor.authorid36183861000en_US
dc.date.accessioned2025-03-03T07:48:46Z
dc.date.available2025-03-03T07:48:46Z
dc.date.issued2024
dc.description.abstractThe evolution of Chatbots today has been seen to be popular in various service sectors such as education, business, as well as banking. The assistance provided by the system has been able to ease the tasks that otherwise need to be done by human agents. This paper highlights the development of the visual-based energy efficient Chatbot (VBE2Chatbot), testing, and explores the changes of sentiment projected by the end user during the pre-survey stage and post-survey stage. The visual-based and energy efficient Chatbot system refers to one that is designed using visual elements (such as images, videos, or graphical interfaces) to enhance user experience whilst being optimized for energy efficient (optimising code, server-side processing, smart wake-up and sleep modes and caching). This paper also highlights the findings of sentiment analysis based on customer satisfaction. On the whole, findings of the study showed positive results on its satisfaction based on the design and development of a visual-based energy efficient Chatbot (VBE2Chatbot). More work needs to be conducted to integrate AI, visual elements, and energy efficient elements into the VBE2Chatbot. ? The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-981-99-7339-2_49
dc.identifier.epage628
dc.identifier.scopus2-s2.0-85176012866
dc.identifier.spage606
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85176012866&doi=10.1007%2f978-981-99-7339-2_49&partnerID=40&md5=bad0774fe8de1310d99c192398f930b9
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/37216
dc.identifier.volume14322 LNCS
dc.pagecount22
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.subjectCustomer satisfaction
dc.subjectEnergy efficiency
dc.subjectImage enhancement
dc.subjectChatbots
dc.subjectCustomers' satisfaction
dc.subjectEnergy efficient
dc.subjectEnergy efficient chatbot
dc.subjectSentiment analysis
dc.subjectService sectors
dc.subjectUser satisfaction levels
dc.subjectVisual elements
dc.subjectVisual-based chatbot
dc.subjectSentiment analysis
dc.titleA Visual-Based Energy Efficient Chatbot: Relationship between Sentiment Analysis and Customer Satisfactionen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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