Chatbot to Support Frequently Asked Questions from Students in Higher Education Institutions

  • José Rodrigues Neto UFRPE
  • Péricles B. C. Miranda UFRPE
  • Rafael Ferreira Mello UFRPE
  • André C. A. Nascimento UFRPE

Abstract


Chatbots are tools that use artificial intelligence to simulate human conversation. They can be used for different applications, such as providing customer service within an e-commerce store, filling out forms or answering FAQs (Frequently Asked Questions). This work proposes the development of a chatbot to help students from a Brazilian public university in the search for information related to doubts in subjects, administrative processes, and general doubts about their course or university. The developed system is able to deliver a high accuracy in the classification of the intention of the question and to have an answer to the user in a wide range of different topics.

References

Bhawiyuga, A., Fauzi, M. A., Pramukantoro, E. S., and Yahya, W. (2017). Design of e-commerce chat robot for automatically answering customer question. In 2017 International Conference on Sustainable Information Engineering and Technology (SIET), pages 159-162.

Bunk, T., Varshneya, D., Vlasov, V., and Nichol, A. (2020). Diet: Lightweight language understanding for dialogue systems.

Chowdhary, K. (2020). Natural language processing. Fundamentals of artificial intelligence, pages 603-649.

da Silveira, C., da Silva, A. R., Herpich, F., and Tarouco, L. M. R. (2019). Uso de agente conversacional como recurso de aprendizagem sócio-educacional. RENOTE-Revista Novas Tecnologias na Educação, 17(3).

Dehon, P., Silva, A., Inocêncio, A., Castro, C., Costa, H., and Júnior, P. (2018). Cvchatbot: Um chatbot para o aplicativo facebook messenger integrado ao ava moodle. Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação - SBIE), 29(1):1623.

Efron, B. (1983). Estimating the error rate of a prediction rule: Improvement on cross-validation. Journal of the American Statistical Association, 78(382):316-331.

Krouska, A., Troussas, C., and Virvou, M. (2016). The effect of preprocessing techniques on twitter sentiment analysis. In 2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA), pages 1-5. IEEE.

Mikic-Fonte, F. A., Llamas-Nistal, M., and Caeiro-Rodríguez, M. (2018). Using a chatterbot as a faq assistant in a course about computers architecture. In 2018 IEEE Frontiers in Education Conference (FIE), pages 1-4.

Nadeau, D. and Sekine, S. (2007). A survey of named entity recognition and classification. Lingvisticae Investigationes, 30(1):3-26.

Naser-Karajah, E., Arman, N., and Jarrar, M. (2021). Current trends and approaches in synonyms extraction: Potential adaptation to arabic. In 2021 International Conference on Information Technology (ICIT), pages 428-434. IEEE.

Patel, N. P., Parikh, D. R., Patel, D. A., and Patel, R. R. (2019). Ai and web-based human-like interactive university chatbot (unibot). In 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA), pages 148-150.

Srivastava, P. and Singh, N. (2020). Automatized medical chatbot (medibot). In 2020 International Conference on Power Electronics IoT Applications in Renewable Energy and its Control (PARC), pages 351-354.

Srividhya, V. and Anitha, R. (2010). Evaluating preprocessing techniques in text categorization. International journal of computer science and application, 47(11):49-51.

Teixeira, M. A. P., Dias, A. C. G., Wottrich, S. H., and Oliveira, A. M. (2008). Adaptação à universidade em jovens calouros. Psicologia escolar e educacional, 12(1):185-202.

Toman, M., Tesar, R., and Jezek, K. (2006). Influence of word normalization on text classification. Proceedings of InSciT, 4:354-358.
Published
2022-11-28
RODRIGUES NETO, José; MIRANDA, Péricles B. C.; MELLO, Rafael Ferreira; NASCIMENTO, André C. A.. Chatbot to Support Frequently Asked Questions from Students in Higher Education Institutions. In: NATIONAL MEETING ON ARTIFICIAL AND COMPUTATIONAL INTELLIGENCE (ENIAC), 19. , 2022, Campinas/SP. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022 . p. 591-601. ISSN 2763-9061. DOI: https://doi.org/10.5753/eniac.2022.227553.

Most read articles by the same author(s)

1 2 3 > >>