The method of better job hunting using magazine, newspaper and JST research paper data
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- TSUJI Tomoyasu
- Faculty of Economics, Tohoku University
Bibliographic Information
- Other Title
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- 雑誌・新聞・JSTデータからみるよりよい企業選択へのヒント
- ザッシ ・ シンブン ・ JST データ カラ ミル ヨリ ヨイ キギョウ センタク エ ノ ヒント
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Abstract
This analysis aims to understand company information "more accurately" and "more efficiently", and then to show much better systems of job hunting. When I built the system, I used three kinds of data (magazine, newspaper, research paper). In this analysis, we can understand the "trend companies" in the magazine's data firstly, the "company group" in the newspaper's data secondly, and "difference of strength" finally. So I create the system to identify the industry group covering a company, and the strength of the company easily. Setting the general college student image, I showed the application and use of the system. I concluded the application range of the system can be expanded and the appropriate use makes company selection better.
Journal
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- Journal of Information Processing and Management
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Journal of Information Processing and Management 58 (4), 293-300, 2015
Japan Science and Technology Agency
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Keywords
Details 詳細情報について
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- CRID
- 1390001205508248320
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- NII Article ID
- 130005085744
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- NII Book ID
- AN00116534
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- ISSN
- 13471597
- 00217298
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- NDL BIB ID
- 026557013
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed