The 81st JSAP Autumn Meeting, 2020

Presentation information

Oral presentation

23 Joint Session N "Informatics" » 23.1 Joint Session N "Informatics"

[9p-Z09-1~18] 23.1 Joint Session N "Informatics"

Wed. Sep 9, 2020 1:00 PM - 6:00 PM Z09

Kiyou Shibata(the University of Tokyo), Masato Kotsugi(Tokyo Univ. of Sci.), Shigetaka Tomiya(SONY Corp.)

5:45 PM - 6:00 PM

[9p-Z09-18] Extraction of Polymer Good Solvents from Sentences

Hiroyuki Oka1, Yoshitaka Sato2, Shuhei Kondo2, Hiroyuki Shindo2,3, Yuji Matsumoto3, Masashi Ishii1 (1.NIMS, 2.NAIST, 3.RIKEN AIP)

Keywords:polymer, good solvents, sentences

Sentences including polymer good solvents in polymer articles become able to be classified using machine learning. Extraction of polymer- and good solvent names from their sentences is the next subject. Classified sentences include sentences for GPC measurement and film preparation. Since polymer names are not often described in these sentences, they were also extracted from tables. Sentences including polymer good solvents were furthermore classified to the seven types, and good and poor solvents were identified in sentences for reprecipitation. These results are reported.