Automated essay scoring with ontology based on text mining and NLTK tools
One of the common learning activities used in educational levels and disciplines is essay writing. The problems of the essay writing activities are time-consuming, concerns in producing immediate result and/or feedback from teachers to students, and the teachers tend to be subjective in grading the...
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oai:animorepository.dlsu.edu.ph:faculty_research-141962024-04-08T10:01:14Z Automated essay scoring with ontology based on text mining and NLTK tools Contreras, Jennifer O. Hilles, Shad Binti Abubakar, Zainab One of the common learning activities used in educational levels and disciplines is essay writing. The problems of the essay writing activities are time-consuming, concerns in producing immediate result and/or feedback from teachers to students, and the teachers tend to be subjective in grading the essay activities. The study aims to apply the preliminary approach for automatically generating the domain concept ontology in essays using OntoGen and applied natural language processing algorithms using NLTK (Natural Language Tool Kit) that enhance the teachers essay grading. 2018-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/11623 Faculty Research Work Animo Repository Natural language processing (Computer science) Text data mining Computer Sciences |
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De La Salle University |
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De La Salle University Library |
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Asia |
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Philippines Philippines |
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De La Salle University Library |
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DLSU Institutional Repository |
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Natural language processing (Computer science) Text data mining Computer Sciences |
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Natural language processing (Computer science) Text data mining Computer Sciences Contreras, Jennifer O. Hilles, Shad Binti Abubakar, Zainab Automated essay scoring with ontology based on text mining and NLTK tools |
| description |
One of the common learning activities used in educational levels and disciplines is essay writing. The problems of the essay writing activities are time-consuming, concerns in producing immediate result and/or feedback from teachers to students, and the teachers tend to be subjective in grading the essay activities. The study aims to apply the preliminary approach for automatically generating the domain concept ontology in essays using OntoGen and applied natural language processing algorithms using NLTK (Natural Language Tool Kit) that enhance the teachers essay grading. |
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text |
| author |
Contreras, Jennifer O. Hilles, Shad Binti Abubakar, Zainab |
| author_facet |
Contreras, Jennifer O. Hilles, Shad Binti Abubakar, Zainab |
| author_sort |
Contreras, Jennifer O. |
| title |
Automated essay scoring with ontology based on text mining and NLTK tools |
| title_short |
Automated essay scoring with ontology based on text mining and NLTK tools |
| title_full |
Automated essay scoring with ontology based on text mining and NLTK tools |
| title_fullStr |
Automated essay scoring with ontology based on text mining and NLTK tools |
| title_full_unstemmed |
Automated essay scoring with ontology based on text mining and NLTK tools |
| title_sort |
automated essay scoring with ontology based on text mining and nltk tools |
| publisher |
Animo Repository |
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2018 |
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https://animorepository.dlsu.edu.ph/faculty_research/11623 |
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