Nuclear Exports Control System Using Semi-Automatic Keyword Extraction
Keywords:
Nuclear exports control system, case-based reasoning, text categorization, keyword extraction.Abstract
Because the domain of nuclear power is highly
specialized and complex, human experts have been utilized to
manually evaluate all the documents submitted for export
permission, causing the evaluation process to be slow and
costly. Toward alleviating the problem of relying on laborious
and costly human experts, the present research examines
alternative approaches of text categorization, which is a key
component of the case-based reasoning system proposed for the
retrieval of documents only in the classes where a new export
request case is related. Specifically, we examined three text
categorization approaches: 1) manual approach involving a
field expert, 2) automatic approach utilizing the TF-IDF
scheme, and 3) semi-automatic approach involving both
student experts and the TF-IDF scheme. Among the three
methods, semi-automatic approach is the most efficient and
effective in extracting keywords, demonstrating that the
combination of machine and human is a promising solution
that can effectively overcome the issues of expertise scarcity,
time, cost, and accuracy simultaneously.
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