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Title:
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AUTOMATIC REFLECTIVE WRITING ANALYSIS BASED ON SEMANTIC CONCEPTS |
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Author(s):
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Huda Alrashidi and Mike Joy |
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ISBN:
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978-989-8533-75-3 |
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Editors:
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Piet Kommers and Pedro Isaías |
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Year:
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2018 |
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Edition:
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Single |
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Keywords:
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WordNet-Affect, Classification, Reflective, Semantic-Based |
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Type:
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Poster/Demonstration |
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First Page:
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383 |
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Last Page:
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385 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This study proposes a semantic-based approach for reflective writing analysis to overcome the limitations of existing shallow processing approaches. The semantic analysis examines the meaning of linguistic input that depends mainly on transferring words, phrases and sentences into concepts in knowledge sources, such as WordNet-Affect and analysing the relationships of mapped concepts in the underlying knowledge sources. The proposed reflective writing analysis approach focuses on the efficiency of using affectional and emotional concepts identified in WordNet-Affect to classify text into reflective or non-reflective. |
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