Citation

Ng, Tong Jun and Ng, Kok Why and Haw, Su Cheng (2024) Lib-Bot: A Smart Librarian-Chatbot Assistant. International Journal of Computing and Digital Systems, 15 (1). pp. 1-11. ISSN 2210-142X

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Abstract

Library is a knowledge warehouse and various long past references can be found in it. Students, professors, kids, and adults are regularly encouraged to visit the library as it provides a conducive environment for building the habit of reading books and improving individual critical-thinking skills. As technology is getting more and more advanced nowadays, some common problems faced by the librarians can be replaced by machines. For instance, the librarians may not be available all the time at the counter; reduction of physical contact due to Covid19 infection et cetera, machines can take over the librarians’ roles to handle the tasks. In this paper, an Artificial Intelligence (AI) chatbot is proposed and implemented on mobile application to answer library-related questions. Bidirectional Encoder Representations from Transformers (BERT) algorithm is employed to classify the intent of the user’s messages. Besides, many existing chatbot applications support only the text input. This paper proposes a speech-to-text recognition feature to enable both text and voice input. If there are any queries that cannot be solved by the chatbot system, it will store the queries in the database and the library admins can filter the queries and upload new training data for the AI model to cover a wider range of questions.

Item Type:	Article
Uncontrolled Keywords:	Chatbot, Machine Learning, Intent Classification
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	01 Aug 2024 06:17
Last Modified:	01 Aug 2024 06:17
URII:	http://shdl.mmu.edu.my/id/eprint/12714

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