On the Development of Machine Learning Algorithms for Information Extraction of Structured Academic Data from Unstructured Web Documents

Agbogun, J. B. and Akpan, Vincent Andrew (2021) On the Development of Machine Learning Algorithms for Information Extraction of Structured Academic Data from Unstructured Web Documents. American Journal of Information Science and Computer Engineering, 7 (3). pp. 36-51. ISSN 2381-7488

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ON THE DEVELOPMENT OF MACHINE LEARNING ALGORITHMS FOR INFORMATION EXTRACTION OF STRUCTURED ACADEMIC DATA Agbogun and Akpan 2021.pdf
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Abstract

This paper proposes a machine learning approach for information extraction of structured academic data from unstructured web documents. The current challenges of information extraction have been critically examined as well as the state-of-the-art of structured data extraction. The approach used has been simplified and presented using a comprehensive flowchart. The machine learning information extraction scheme was validated using Kogi State University (KSU), Anyigba, Kogi State�Nigeria. The preliminary studies of KSU as well as an organogram of KSU are presented in the paper. The feasibility and realization of the machine learning algorithms for information extraction of structured academic data from unstructured web documents were highlighted and the goals accomplished were also listed

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Natural and Applied Sciences
Depositing User: mrs chioma hannah
Date Deposited: 22 Nov 2022 12:12
Last Modified: 22 Nov 2022 12:12
URI: http://eprints.gouni.edu.ng/id/eprint/3925

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