Abstract
Ever since the rise of the Covid-19 pandemic many organizations have shifted to the new online norm of digitalization. In the list of educational intuitions, the Universities are now offering online programmes to students. The admission process can be frustrating and time-consuming for both the students and the university. Students will have several queries and issues that need to be answered on the spot and clarified before the application process begins. However, chatbots are widely being used everywhere from websites to personal devices. Everyone wants flexibility and ease of access to information faster and in an accurate form, this research paper explores the fundamentals of conversational chatbots in the University system driven by system-chatterbots using neural networks. Focusing on developing a bilingual chatbot that uses Fijian (iTaukei - (Vosa Vakaviti)) and English language through the use of NLP and deep learning algorithms to respond to student FAQs efficiently using intents, a bag of words, and tokenization. This bilingual chatbot can be deployed by any University to provide 24/7 student support to strengthen student communication and ease the flow of information dissemination to its prospective and existing students with prompt responses.
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References
Prabhuraj, R.P., Jeyabalan, S.: An intelligent behaviour shown by chatbot system for banking in vernacular languages. Int. Res. J. Eng. Technol. (IRJET). 6(3), (2019)
Mudikanwi, L.T., Gotora, T.T.: Student personal assistant using machine learning (2018)
Dole, A., Sansare, H., Harekar, R., Athalye, S.: Intelligent chat bot for banking system. Int. J. Emerg. Trends Technol. Comput. Sci. (IJETTCS). 4(5), October (2015)
Mohamed, A.S.: Chatbot powered by deep learning with neural machine translation. Int. Innovative Res. J. Eng. Technol. 4 (2018)
Fijian Government - iTaukei Affairs. iTaukei Institute of Language & Culture. [Online]. Available: https://www.itaukeiaffairs.gov.fj/index.php/divisions/tilc. Accessed 28 Sep 2022.
Wei, Y., Zhu, X., Sun, B.: Comparative studies of AIML. In: 3rd International Conference on Systems and Informatics (ICSAI) (2016)
Nguyen, T., Shcherbakov, M.: A neural network based vietnamese chatbot. In: International Conference on System Modeling & Advancement in Research Trends (SMART) (2018)
Bozic, J., Tazl, O.A., Wotawa, F.: Chatbot testing using AI planning. In: IEEE International Conference On Artificial Intelligence Testing (AITest) (2019)
Patel, N.P., Parikh, D.R., Patel, D.A., Patel, R.R.: AI and web-based human-like interactive university chatbot (UNIBOT). In: 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA) (2019)
Suhel, S.F., Shukla, V.K., Vyas, S., Mishra, V.P.: Conversation to automation in banking through chatbot using artificial machine intelligence language. In: IEEE. Noida, India (2020)
Chandra, Y.W., Suyantoa, S.: Indonesian chatbot of university admission using a question answering system based on sequence-to-sequence model. Procedia Comput. Sci. 157, 367–374 (2019)
Abdennadher, S., Abdallah, M., Mansy, Y., Hefny, W.E.: Jooka: a bilingual chatbot for university admission. World Conf. Inf. Syst. Technol. 1367, 671–681 (2021)
Khin, N.N., Soe, K.M.: University chatbot using artificial intelligence markup language. In: IEEE. Yangon, Myanmar (2020)
Saqib, G., Faizan, K., Ghatte, N.: Intelligent chatting service using AIML. In: International Conference on Current Trends towards Converging Technologies (ICCTCT) (2018)
Prasad, P.V.K.V., Krishna, N.V., Jacob, T.P.: AI chatbot using web speech API and node.Js. In: International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (2022)
Singh, A., Ramasubramanian, K., Shivam, S.: Deployment and a continuous improvement framework. In: Building an Enterprise Chatbot, pp. 345-375. Apress Berkeley, CA (2019)
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Chand, R.R., Sharma, N.A. (2023). Development of Bilingual Chatbot for University Related FAQs Using Natural Language Processing and Deep Learning. In: Hsu, CH., Xu, M., Cao, H., Baghban, H., Shawkat Ali, A.B.M. (eds) Big Data Intelligence and Computing. DataCom 2022. Lecture Notes in Computer Science, vol 13864. Springer, Singapore. https://doi.org/10.1007/978-981-99-2233-8_6
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DOI: https://doi.org/10.1007/978-981-99-2233-8_6
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