Automated essay scoring with ontology based on text mining and NLTK tools
College
College of Computer Studies
Department/Unit
Software Technology
Document Type
Archival Material/Manuscript
Publication Date
2018
Abstract
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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Recommended Citation
Contreras, J. O., Hilles, S., & Binti Abubakar, Z. (2018). Automated essay scoring with ontology based on text mining and NLTK tools. Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/11623
Disciplines
Computer Sciences
Keywords
Natural language processing (Computer science); Text data mining
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