Presentation 2017-06-24
Identification of keywords using Japanese wikipedia article
Arashi noto, Nobuyuki Takahashi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper describes how to make “mean tree” in use keywords that is extracted from Japanese wikipdia articles. In this research, keywords are express word vectors and they are used for making “mean tree”. We will make “mean tree” and will compare the tree with words mean. We propose to use meaning operation and cosine similarity to make "mean tree". We compared proposal technique and handmade tree. As a result, we still have some tasks however, we could suggest significance to make "mean tree".
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Information Retrieval / NLP / Word2Vec / keyword extraction
Paper # DE2017-10
Date of Issue 2017-06-16 (DE)

Conference Information
Committee DE
Conference Date 2017/6/23(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Akiyo Nadamoto(Konan Univ.)
Vice Chair Koji Eguchi(Kobe Univ.) / Shingo Otsuka(Kanagawa Inst. of Tech.)
Secretary Koji Eguchi(Kogakuin Univ.) / Shingo Otsuka(Univ. of Marketing and Distrbution Science)
Assistant Kazuo Goda(Univ. of Tokyo) / Yuroaki Shiokawa(Tsukuba Univ.)

Paper Information
Registration To Technical Committee on Data Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Identification of keywords using Japanese wikipedia article
Sub Title (in English)
Keyword(1) Information Retrieval
Keyword(2) NLP
Keyword(3) Word2Vec
Keyword(4) keyword extraction
1st Author's Name Arashi noto
1st Author's Affiliation Future University-Hakodate(FUN)
2nd Author's Name Nobuyuki Takahashi
2nd Author's Affiliation Future University-Hakodate(FUN)
Date 2017-06-24
Paper # DE2017-10
Volume (vol) vol.117
Number (no) DE-108
Page pp.pp.37-40(DE),
#Pages 4
Date of Issue 2017-06-16 (DE)