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  1. 紀要論文
  2. 桃山学院大学経済経営論集
  3. 60(4)

機械学習を活用したテキストマイニング(2) : 仮説の発見と検証

https://stars.repo.nii.ac.jp/records/9016
https://stars.repo.nii.ac.jp/records/9016
7b2c1083-83fb-4b21-a418-3acb64e90510
名前 / ファイル ライセンス アクション
121_竹岡志朗.pdf 竹岡志朗 (2.2 MB)
Item type 紀要論文 / Departmental Bulletin Paper(1)
公開日 2019-03-27
タイトル
タイトル 機械学習を活用したテキストマイニング(2) : 仮説の発見と検証
言語 ja
タイトル
タイトル Text Mining Using Machine Learning(2) : Discovery and Verification of Hypotheses
言語 en
言語
言語 jpn
キーワード
主題Scheme Other
主題 テキストマイニング
キーワード
主題Scheme Other
主題 機械学習
キーワード
主題Scheme Other
主題 分散表現
キーワード
主題Scheme Other
主題 fastText
キーワード
主題Scheme Other
主題 クチコミ
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ departmental bulletin paper
著者 竹岡, 志朗

× 竹岡, 志朗

WEKO 1105

ja 竹岡, 志朗

ja-Kana タケオカ, シロウ

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TAKEOKA, Shiro

× TAKEOKA, Shiro

WEKO 1106

en TAKEOKA, Shiro

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抄録
内容記述タイプ Abstract
内容記述 In recent years, AI has gained social attention as there are reports of
leap in image recognition contest ILSVRC, the appearance of AlphaGo, and
applied cases in various industrial fields. Words related to AI such as
machine learning and deep learning has become widely recognized. As an
application possibility to management research and management practice,
it can be said that it is becoming a sufficiently usable technology due to
improvement of natural language processing technology in recent years,
especially improvement of distributed representation technology.
In this research, we propose a method to analyze and visualize the
characteristics of goods and services with text mining which using machine
learning technology included in AI technologies, especially the method on
discovery and verification of hypotheses. The text mining method proposed
in this research is not based on current weighing text analysis which
aggregate values of words, but based on distributed representation of
words calculated by machine learning. By using this method, it is possible
to analyze based on the consumer’s experience and meaning made up of
the consuming process. The method proposed by this paper is also useful
for business researchers, but even for practitioners, when planning and
model change of new products or services, comparison with other
company’s product services becomes easier than ever, more detailed
analysis It is thought that it is beneficial because it can be considered to be
able to proceed with practical work based on it. Text mining based on
distributed representation is still an incomplete technology, not a fixed
method, but it is an area where further development is expected in the
future.
書誌情報 ja : 桃山学院大学経済経営論集
en : ST.ANDREW'S UNIVERSITY ECONOMIC AND BUSINESS REVIEW

巻 60, 号 4, p. 121-143, 発行日 2019-02-15
出版者
出版者 桃山学院大学総合研究所
ISSN
収録物識別子タイプ ISSN
収録物識別子 02869721
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AN00240555
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
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