@techreport{oai:ipsj.ixsq.nii.ac.jp:00208949,
 author = {森谷, 高明 and 西尾, 学 and 山本, 太三 and 三好, 優 and Takaaki, Moriya and Manabu, Nishio and Taizo, Yamamoto and Yu, Miyoshi},
 issue = {2},
 month = {Dec},
 note = {データの分析において，当初の予想と食い違う新しいエビデンスが得られることがある．そこには， 主観的な感覚に基づく予想と，データから得られた客観的事実のギャップによる意外性が存在する．本論文では，2 単語間の関係性に着目し，その関係において主観と客観に応じた 2 種類の類似度を定義する．前者は単語間の意味的な類似度であり，後者はその 2 単語に対応する物価時系列データの変動波形どうしの類似度である．そして 2 単語間において定義される両類似度の差からなる意外度を定義する．本論文ではこれら意味的類似度，物価変動類似度，意外度の定量的分析を行う．, Data analysis often finds a new evidence which is different from what is expected in advance. It includes unexpectedness which means a gap between subjective expectation and objective fact from data. This paper emphasizes relation between two words and defines their subjective and objective similarities. The former is semantic similarity between two words. The latter is price transition similarity between two words (i.e., items) in customer price index. Then, a measure of unexpectedness between these words is defined as a distance between the similarities. This paper quantitatively analyzes the semantic similarity, the price transition similarity, and the measure of unexpectedness.},
 title = {単語の意味的類似度と物価変動類似度の関係性の定量化},
 year = {2020}
}