2013 Fiscal Year Final Research Report
Studies and Applications based on Analysis Bloggers' Knowledge Level and their Sentiments
| Project/Area Number |
23500140
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Media informatics/Database
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| Research Institution | Kyoto Sangyo University |
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Principal Investigator |
NAKAJIMA Shinsuke 京都産業大学, コンピュータ理工学部, 准教授 (90399535)
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| Co-Investigator(Kenkyū-buntansha) |
ZHANG Jianwei 筑波技術大学, 産業技術学部, 助教 (20635924)
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| Project Period (FY) |
2011 – 2013
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| Keywords | 情報システム / Webマイニング / ブログマイニング / 流行語発見 |
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| Research Abstract |
In this study, we developed blogger analysis methods with high level of detail and accuracy. In addition, we also developed methods for discovering high credible information, extracting early-stage of trend information, profiling bloggers as sender of the information, and recommendation technique based on taking advantage of such methods. As the result, a part of our outputs was adopted in a real service of the collaborator company. Specifically, research papers of our studies about extracting early-stage of trend information were not only accepted as a competitive international conference paper and a journal paper and also awarded three prizes in domestic research workshops.
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