著者
財津 亘 金 明哲
出版者
日本法科学技術学会
雑誌
日本法科学技術学会誌 (ISSN:18801323)
巻号頁・発行日
pp.678, (Released:2014-10-31)
参考文献数
28
被引用文献数
4

The effectiveness of identifying the author of an illegal document by using text mining was investigated. The suspected writing evaluated in this study was a claim of responsibility written by a 14-year-old boy, which stated that he committed the “Kobe child murders” in 1997. It was compared with control writings including confessions, and an essay that we knew were written by the same boy, as well as with irrelevant materials including various essays written by five junior high school students, and claims of responsibility in four past criminal cases. First, the writings in each document were digitalized and converted to text files. Then, the relative frequencies of bigram of letters, bigram of part-of-speech taggers, sentence lengths of each document, and rate of using Kanji, Hiragana, and Katakana were calculated. Results of sammon multi-dimensional scaling and hierarchical cluster analysis indicated that the text in the suspected writing was arranged identically or similarly to groups of texts in control materials, where they were arranged differently from groups of texts in irrelevant materials. In a separate analysis, the suspected writing was substituted with a document written by a different offender and we conducted the identical procedure described above. Results demonstrated that texts in the suspected writing were in a different form control and irrelevant texts. These results indicated the effectiveness of identifying an author by using text mining when examining forensic documents.

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参考文献: 『テキストマイニングを用いた犯罪に関わる文書の筆者識別』 財津亘,金明哲 https://t.co/VWcJPol015
テキストマイニングで筆者を識別する、という内容の論文。この手法を応用すれば、たくさんいるように見えるアンチコメントも、実はたった一人が二人だった、みたいなことがわかるかもしれないな、と思いました。 https://t.co/oqyzV9LYJq
財津亘・金明哲 (2015). 「テキストマイニングを用いた犯罪に関わる文書の筆者識別」『日本法科学技術学会誌』 20(1), 1-14. https://t.co/EQBxBuiapK 「富山県警察本部刑事部科学捜査研究所」!

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