Presentation 2018-09-07
Knowledge exploration by combining machine learning and text mining
Hirofumi Omori,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The purpose of this research is to examine a knowledge exploration method by combining machine learning and text mining. Today,machine learning is attracting attention as a method of iteratively learning a large amount of data and finding a pattern lurking in it. However,these processing results do not necessarily reflect the analyst's intention. Therefore,the author discussed the effectiveness of stepwise analysis while combining the excellent points of machine learning and text mining software,and appropriately sorting analytical data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) machine learning / text mining / regional branding / clue expression / collocation
Paper # NLC2018-22
Date of Issue 2018-08-30 (NLC)

Conference Information
Committee NLC / IPSJ-DC
Conference Date 2018/9/6(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Seikei University
Topics (in Japanese) (See Japanese page)
Topics (in English) The Thirteenth Text Analytics Symposium
Chair Takeshi Sakaki(Hottolink) / Michiko Oba(Hitachi)
Vice Chair Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Kazutaka Shimada(Kyushu Inst. of Tech.)
Secretary Mitsuo Yoshida(Ryukoku Univ.) / Kazutaka Shimada(NTT) / (Kyushu Univ.)
Assistant Takeshi Kobayakawa(NHK) / Hiroki Sakaji(Univ. of Tokyo)

Paper Information
Registration To Technical Committee on Natural Language Understanding and Models of Communication / Special Interest Group on Document Communication
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Knowledge exploration by combining machine learning and text mining
Sub Title (in English) Content analysis of newspaper articles on Regional Branding
Keyword(1) machine learning
Keyword(2) text mining
Keyword(3) regional branding
Keyword(4) clue expression
Keyword(5) collocation
1st Author's Name Hirofumi Omori
1st Author's Affiliation Meisei University(Meisei Univ.)
Date 2018-09-07
Paper # NLC2018-22
Volume (vol) vol.118
Number (no) NLC-210
Page pp.pp.85-90(NLC),
#Pages 6
Date of Issue 2018-08-30 (NLC)