修士論文・卒業論文の概要/2019年8月修了

2019.8 修士論文

譚　司�h

レジリエンスの４つの能力をテキストマイニングにより分析するための三言語語彙集の開発

Developing Trilingual Vocabulary Set for the Text Mining Analysis of the Four Capabilities of Resilience

The aim of this study is to develop a trilingual vocabulary set for the text mining analysis of the four capabilities of resilience (learning, anticipating, monitoring, and responding) proposed by Erik Hollnagel. It will support researchers and practitioners to extract useful information from accident reporting documents to improve resilience capabilities of stakeholders. The proposed English-Chinese-Japanese vocabulary set was created using the multilingual report on the Fukushima Daiichi Nuclear Accidents compiled by IAEA. The set contains around 200 words for each language. The usefulness and effectiveness of the proposed set was evaluated by texts of different sections of the same document based on recall-precision analysis.

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