Higher education institutions or universities secure the quality of their education in order to build the confidence of stakeholders. In the mechanism of quality assurance, it is necessary to handle an enormous amount of text data related to their education activities. National Institution for Academic Degrees and Quality Enhancement of Higher Education conducts a research for quality assurance to analyze the text data of their admission, curriculum and diploma policies. An effective support system for text information processing by using information technology is desired. In this paper, we will consider the mechanism of preliminary system using character-level convolutional neural networks to judge the consistency between diploma policy and curriculum policy.
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