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Reflective writing analysis approach based on semantic concepts : an evaluation of WordNet affect efficiency

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Alrashidi, Huda and Joy, Mike (2019) Reflective writing analysis approach based on semantic concepts : an evaluation of WordNet affect efficiency. In: Bi, Y. and Bhatia, R. and Kapoor, S., (eds.) Intelligent Systems and Applications. Cham: Springer, pp. 321-333. ISBN 9783030295127

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Official URL: http://dx.doi.org/10.1007/978-3-030-29513-4_23

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Abstract

Automatic analysis of reflective writing involves identifying indicator strings and using string matching or rule matching processes, which flag sections of a text containing reflective material. The problem with the string-based approach is its inability to deal with knowledge inference from the text, such as the content, context, relevance, clarity, and interconnection, which can be identified by semantic analysis. The semantic analysis depends mainly on mapping the text into stored knowledge sources, such as WordNet, and analyzing the associations in the underlying knowledge source. In this paper, a semantic-based approach for reflective writing analysis is proposed, in which the input text, which is being analyzed, is mapped into semantic concepts. Moreover, a machine learning (ML) approach for reflective writing identification and analysis has been implemented to overcome the limitations of rule execution and keyword matching. The proposed approach addresses the efficiency of using several effective concepts, correlated with effective words that are identified in WordNet-Affect. The input text is classified into reflective or non-reflective categories, after which the input text is classified into various reflective classes, based on the type of the document. Moreover, the concepts in WordNet-Affect are evaluated and analyzed to demonstrate their effects on classification and labeling tasks.

Item Type: Book Item
Subjects: P Language and Literature > P Philology. Linguistics
Divisions: Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH): Semantics -- Data processing, English language -- Data processing, English language -- Rhetoric -- Study and teaching -- Computer-assisted instruction, WordNet
Publisher: Springer
Place of Publication: Cham
ISBN: 9783030295127
ISSN: 2194-5357
Book Title: Intelligent Systems and Applications
Editor: Bi, Y. and Bhatia, R. and Kapoor, S.
Official Date: 24 August 2019
Dates:
DateEvent
24 August 2019Published
12 January 2019Accepted
Volume: 1038
Page Range: pp. 321-333
DOI: 10.1007/978-3-030-29513-4_23
Status: Peer Reviewed
Publication Status: Published
Publisher Statement: This is a post-peer-review, pre-copyedit version of a chapter published in Intelligent Systems and Applications. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-29513-4_23
Access rights to Published version: Restricted or Subscription Access
Copyright Holders: © Springer Nature Switzerland AG 2020
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
CB19-68SM-01Muʼassasat al-Kuwayt lil-Taqaddum al-ʻIlmīhttp://viaf.org/viaf/143707677

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