Presentation 2022-07-08
Examination of standard dictionaries for evaluation analysis of accommodation facilities
Yutaka Shiraishi, Tatsumi Takeo,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In order to automatically extract the characteristics of accommodation facilities from word-of-mouth using Text Mining, we propose a method for identifying the number of terms stored in the dictionary when preparing a standard dictionary.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Accommodation / Text Mining / Dictionaries / Number of Terms
Paper # NLC2022-2
Date of Issue 2022-07-01 (NLC)

Conference Information
Committee NLC / IPSJ-ICS
Conference Date 2022/7/8(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Application of natural language processing and intelligent systems, and general topic of NLP
Chair Mitsuo Yoshida(Toyohashi Univ. of Tech.)
Vice Chair Hiroki Sakaji(Univ. of Tokyo) / Takeshi Kobayakawa(NHK)
Secretary Hiroki Sakaji(NTT) / Takeshi Kobayakawa(Hiroshima Univ. of Economics)
Assistant Kanjin Takahashi(Sansan) / Yasuhiro Ogawa(Nagoya Univ.)

Paper Information
Registration To Technical Committee on Natural Language Understanding and Models of Communication / Special Interest Group on Intelligence and Complex Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Examination of standard dictionaries for evaluation analysis of accommodation facilities
Sub Title (in English) Estimating the number of required words to define in the dictionary
Keyword(1) Accommodation
Keyword(2) Text Mining
Keyword(3) Dictionaries
Keyword(4) Number of Terms
1st Author's Name Yutaka Shiraishi
1st Author's Affiliation The Open University of Japan(OUJ)
2nd Author's Name Tatsumi Takeo
2nd Author's Affiliation The Open University of Japan(OUJ)
Date 2022-07-08
Paper # NLC2022-2
Volume (vol) vol.122
Number (no) NLC-99
Page pp.pp.7-12(NLC),
#Pages 6
Date of Issue 2022-07-01 (NLC)