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Dr R. Vijaya Saraswathi


Chat-bot, Voice-bot, Deep Learning, Long short-term memory hybrid model.


Helping and guiding customers who are either contemplating making a purchase or are currently making use of a product or service is an essential part of providing good customer service. Consumers expect answers to their inquiries that are both timely and comprehensive. It is essential to the success of any firm to maintain the happiness and contentment of its customers. As a consequence of this, a business has to provide a diverse selection of client services so that customers may choose the ones that are the most appropriate for their requirements. The most frequent forms of customer assistance are telephony, interactive voice response, websites, electronic mail, live chat, and social media. In this work, we resent a banking service voice -bot implicating the overall features based on Deep learning with LSTM hybrid model. The Hybrid design approach indicates Dense, CNN, or BI-LSTM features are integrated into the structural design improvising the overall characteristic features. We enhance the specific features using Lemmatizing of words. With these conditions, we improvise the overall accuracy up to 100% better than existing algorithms as compared.

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1. F. J. G. Marcelino, M. T. Escubio, J. P. M. Ocampo and M. A. Beninsig, "Cheerbot: A Customer Service AI Chatbot for Foam-Pom Pangasinan," 2021 1st International Conference in Information and Computing Research (iCORE), Manila, Philippines, 2021, pp. 23-28, doi: 10.1109/iCORE54267.2021.00023.
2. C. -C. Chang, W. -S. Cheng and S. Hsiao, "Customer Service Chatbot Enhanced with Conversational Language Understanding and Knowledge Base," 2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE), Yunlin, Taiwan, 2022, pp. 231-234, doi: 10.1109/ECICE55674.2022.10042940.
3. Chaidrata et al., "Intent Matching based Customer Services Chatbot with Natural Language Understanding," 2021 5th International Conference on Communication and Information Systems (ICCIS), Chongqing, China, 2021, pp. 129-133, doi: 10.1109/ICCIS53528.2021.9646029.
4. R. Antonio, N. Tyandra, L. T. Nusantara, Anderies and A. Agung Santoso Gunawan, "Study Literature Review: Discovering the Effect of Chatbot Implementation in E-commerce Customer Service System Towards Customer Satisfaction," 2022 International Seminar on Application for Technology of Information and Communication (iSemantic), Semarang, Indonesia, 2022, pp. 296-301, doi: 10.1109/iSemantic55962.2022.9920434.
5. M. K. Tamrakar and A. Badholia, "Scientific Study of Technological Chatbot Adoption in Customer Service," 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India, 2022, pp. 1117-1123, doi: 10.1109/ICESC54411.2022.9885724.
6. M. -Y. Day and S. -R. Shaw, "AI Customer Service System with Pre-trained Language and Response Ranking Models for University Admissions," 2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI), Las Vegas, NV, USA, 2021, pp. 395-401, doi: 10.1109/IRI51335.2021.00062.
7. E. Wang, W. L. Putera, H. Lucky and A. Chowanda, "Chatbot Application to Automate Services in FnB Business Using Seq2Seq LSTM," 2022 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS), Jakarta, Indonesia, 2022, pp. 413-417, doi: 10.1109/ICIMCIS56303.2022.10017854
8. D. Sebastian and K. A. Nugraha, "Academic Customer Service Chatbot Development using TelegramBot API," 2021 2nd International Conference on Innovative and Creative Information Technology (ICITech), Salatiga, Indonesia, 2021, pp. 221-225,
doi: 10.1109/ICITech50181.2021.9590140.
9. F. Aulia, C. Adviorika U, Yuniarty, M. Fahlevi, H. Prabowo and B. G. Muchardie, "Analysis of Chatbot Program Features Towards Customer Satisfaction in the Era of Digitalization," 2021 International Conference on Information Management and Technology (ICIMTech), Jakarta, Indonesia, 2021, pp. 604-607, doi: 10.1109/ICIMTech53080.2021.9535034.
10. Y. Liu, X. Li and Z. Xiang, "The Effect of Chatbot-customer Interaction on Consumer Brand Advocacy: Exploring the Role of Chatbots," 2022 IEEE 12th International Conference on Electronics Information and Emergency Communication (ICEIEC), Beijing, China, 2022, pp. 185-190, doi: 10.1109/ICEIEC54567.2022.9835050.
11. M. S. Stepanov, A. R. Muzata, V. D. Zyuzin, N. S. Kostina and M. O. Shishkin, "Estimation of Contact Center Performance Measures in Case of Overload and Chatbot Implementation," 2021 Systems of Signals Generating and Processing in the Field of on-Board Communications, Moscow, Russia, 2021, pp. 1-7, doi: 10.1109/IEEECONF51389.2021.941598
12. H. Dihingia, S. Ahmed, D. Borah, S. Gupta, K. Phukan and M. K. Muchahari, "Chatbot Implementation in Customer Service Industry through Deep Neural Networks," 2021 International Conference on Computational Performance Evaluation (ComPE), Shillong, India, 2021, pp. 193-198, doi: 10.1109/ComPE53109.2021.9752271.
13. B. V. Thazhathethil, U. Balasubramaniam and S. T. Abraham, "Coimbatore Destination Chatbot: A Study on Customer Preference," 2021 IoT Vertical and Topical Summit for Tourism, Cagliari, Italy, 2021, pp. 1-6, doi: 10.1109/IEEECONF49204.2021.960484
14. F. Min, Z. Fang, Y. He and J. Xuan, "Research on Users' Trust of Chatbots Driven by AI: An Empirical Analysis Based on System Factors and User Characteristics," 2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE), Guangzhou, China, 2021, pp. 55-58, doi: 10.1109/ICCECE51280.2021.9342098.
15. Herrera, L. Yaguachi and N. Piedra, "Building Conversational Interface for Customer Support Applied to Open Campus an Open Online Course Provider," 2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT), Maceio, Brazil, 2019, pp. 11-13, doi: 10.1109/ICALT.2019.00011.
16. M. Mohammed, S. Amin and M. M. Aref, "An English Islamic Articles Dataset (EIAD) for developing an IslamBot Question Answering Chatbot," 2022 5th International Conference on Computing and Informatics (ICCI), New Cairo, Cairo, Egypt, 2022, pp. 303-309, doi: 10.1109/ICCI54321.2022.9756122.