Presentation 2018-02-16
Applying Text-mining to Analyzing Labor Accident Reports in Retailing Sector
Jian LU,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In order to effectively using the information included in Labor Accident Reports, it is also necessary to fully use the information contained in the text description about each accident, in addition to the attributes such as “accident type” and “causing object” which are already classified as some standard tag. In this paper, the application of text mining into the analysis for Labor Accident Reports in Retailing Sector is reported.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Text Mining / Labor Accident Analysis
Paper # NLC2017-44
Date of Issue 2018-02-09 (NLC)

Conference Information
Committee NLC / IPSJ-IFAT
Conference Date 2018/2/16(2days)
Place (in Japanese) (See Japanese page)
Place (in English) T.O.G.
Topics (in Japanese) (See Japanese page)
Topics (in English) The Twelveth Text Analytics Symposium
Chair Hiroshi Kanayama(IBM)
Vice Chair Takeshi Sakaki(Hottolink) / Kazutaka Shimada(Kyushu Inst. of Tech.)
Secretary Takeshi Sakaki(Ryukoku Univ.) / Kazutaka Shimada(NTT)
Assistant Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Takeshi Kobayakawa(NICT)

Paper Information
Registration To Technical Committee on Natural Language Understanding and Models of Communication / Special Interest Group on Information Fundamentals and Access Technologies
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Applying Text-mining to Analyzing Labor Accident Reports in Retailing Sector
Sub Title (in English)
Keyword(1) Text Mining
Keyword(2) Labor Accident Analysis
1st Author's Name Jian LU
1st Author's Affiliation National Institute of Occupational Safety and Health(JNIOSH)
Date 2018-02-16
Paper # NLC2017-44
Volume (vol) vol.117
Number (no) NLC-439
Page pp.pp.7-9(NLC),
#Pages 3
Date of Issue 2018-02-09 (NLC)