The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Chatbot for university related FAQs
Abstract
Chatbots are programs that mimic human conversation using Artificial Intelligence (AI). It is designed to be the ultimate virtual assistant, entertainment purpose, helping one to complete tasks ranging from answering questions, getting driving directions, turning up the thermostat in smart home, to playing one's favorite tunes etc. Chatbot has become more popular in business groups right now as they can reduce customer service cost and handles multiple users at a time. But yet to accomplish many tasks there is need to make chatbots as efficient as possible. To address this problem, in this paper we provide the design of a chatbot, which provides an efficient and accurate answer for any query based on the dataset of FAQs using Artificial Intelligence Markup Language (AIML) and Latent Semantic Analysis (LSA). Template based and general questions like welcome/ greetings and general questions will be responded using AIML and other service based questions uses LSA to provide responses at any time that will serve user satisfaction. This chatbot can be used by any University to answer FAQs to curious students in an interactive fashion.
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“within the context of academic advising, most chatbot-based academic advising systems, e.g., refs.[15,16] are designed with an emphasis on functionality and accuracy rather than an interpersonal communication style, which is essential in building trust and relationships.”
From Interacting with a Chatbot-Based Advising System: Understanding the Effect of Chatbot Personality and User Gender on Behavior (2022) · cites this paper as [16]
Citations
Cites
ELIZA—a computer program for the study of natural language communication between man and machine
Weizenbaum, J. (1966) · Communications of the ACM · doi:10.1145/365153.365168 · Cited by 4,452
Jurafsky, D. S., & Martin, J. (2000) · Cited by 4,132
ELIZA — a computer program for the study of natural language communication between man and machine
Weizenbaum, J. (1983) · Communications of the ACM · doi:10.1145/357980.357991 · Cited by 2,807
Chatbots: Are they Really Useful?
Shawar, B. A., & Atwell, E. (2007) · LDV-Forum/Journal for language technology and computational linguistics · doi:10.21248/jlcl.22.2007.88 · Cited by 626
An e-business chatbot using AIML and LSA
Thomas, N. (2016) · International Conference on Advances in Computing, Communications and Informatics (ICACCI) · doi:10.1109/icacci.2016.7732476 · Cited by 117
Artificial Intelligence Markup Language: A Brief Tutorial
Marietto, M. D. G. B., de Aguiar, R. V., Barbosa, G. D. O., Botelho, W. T., Pimentel, E. P., França, R. D. S., & da Silva, V. L. (2013) · International Journal of Computer Science & Engineering Survey · doi:10.5121/ijcses.2013.4301 · Cited by 99
Implementation of an inquisitive chatbot for database supported knowledge bases
Reshmi, S. N., & Balakrishnan, K. (2016) · Sadhana · doi:10.1007/s12046-016-0544-1 · Cited by 73
iAIML: a Mechanism to Treat Intentionality in AIML Chatterbots
Neves, A., Barros, F. A., & Hodges, C. (2006) · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · doi:10.1109/ictai.2006.64 · Cited by 44
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Research works printed but not linked: 3
- aimless, 2004, A tutorial for adding knowledge to your robot, Retrieved From
- wallace, 2008, ALICE Artificial Intelligence Foundation Inc
- shawar, 2007, Chatbots: Are they really useful?, LDV Forum, 22, 29
Cited by
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Schwarz-Musch, A., Tauchhammer, A., & Guetz, B. (2026) · Springer eBooks · doi:10.1007/978-3-658-50823-4_3
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Litera, K. J. E., & Sonza, R. L. (2026) · European Journal of Applied Science Engineering and Technology · doi:10.59324/ejaset.2026.4(2).12
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Kaushik, P., Lohiya, N. K., Rana, G., Kumar, R. R., Gulia, M., & Guleria, N. (2026) · IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) · doi:10.1109/iatmsi68868.2026.11465793
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Reid, S. A., Kammer, F., Lang, N., Ritz, H., Siepermann, M., & Wölfer, J. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-30784-2_30
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Haque, A., Faisal-E-Alam, M., Akter, M. S., Rupa, R. A., & Islam, M. Z. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-2600-2977-0.ch001
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Self-citation
Metadata
- Authors
- Ranoliya, B. R., Raghuwanshi, N., & Singh, S.
- Affiliations
- Manipal Academy of Higher Education (IN)
- ORCID
- Singh, Sanjay
- Venue
- 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
- Publisher
- IEEE
- Published
- 2017-09
- Pages
- 1525-1530
- OpenAlex
- W2772103329
- Cited by
- 425
- References
- 8
- Citations by year
- 2026: 18 · 2025: 44 · 2024: 76 · 2023: 71 · 2022: 76 · 2021: 47 · 2020: 34 · 2019: 48 · 2018: 11
- FWCI
- 11.60
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Advances in Computing, Communications and Informatics (ICACCI) (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Social Sciences › Education › Artificial Intelligence in Education
- Keywords
- chatbots, frequently asked questions, university information, AIML, latent semantic analysis, question answering, virtual assistants, student information services
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