Early Detection of Buzzwords Based on Large-scale Social Media Analysis
Project/Area Number |
26330351
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Web informatics, Service informatics
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Research Institution | Kyoto Sangyo University |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
張 建偉 岩手大学, 理工学部, 准教授 (20635924)
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Project Period (FY) |
2014-04-01 – 2018-03-31
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Project Status |
Completed (Fiscal Year 2017)
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Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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Keywords | Webマイニング / トレンド分析 / 流行語早期発見 / ソーシャルメディア分析 / 情報推薦技術 / 情報工学 / ウェブマイニング |
Outline of Final Research Achievements |
In this project, we tried to develop a method for early detection of“gradual buzzwords” by analyzing time-series data of blog entries. We utilized 141 million blog entries from 11 million blog websites. Then, we studied two methods for detecting gradual buzzwords. One is a method which evaluates bloggers' buzzword prediction ability by analyzing how early bloggers mentioned past buzzwords. Another is a method based on observing the process in which certain topics grow to become major buzzwords and determining the key indicators that are necessary for their early detection. Moreover, we studied how to utilize trends and buzzwords of the world and also trends of individual interests in order to improve the accuracy for recommender systems of Web advertisement, cooking recipe, cosmetics and the reviews.
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Report
(5 results)
Research Products
(30 results)
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[Journal Article] Mining Attribute-Specific Ratings from Reviews of Cosmetic Products2017
Author(s)
Yuuki Matsunami, Mayumi Ueda, Shinsuke Nakajima, Takeru Hashikami, John O'Donovan, Byungkyu Kang
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Journal Title
Transactions on Engineering Technologies, (International MultiConference of Engineers and Computer Scientists 2016)
Volume: -
Pages: 101-114
DOI
ISBN
9789811039492, 9789811039508
Related Report
Peer Reviewed / Int'l Joint Research / Acknowledgement Compliant
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[Presentation] Recipe Recommender System by Considering User’s Moods2016
Author(s)
Mayummi Ueda, Yukitoshi Morishita, Tomiyo Nakamura, Natsuhiko Takata, and Shinsuke Nakajima
Organizer
The 18th International Conference on Information Integration and Web-based Applications & Services(iiWAS2016)
Place of Presentation
Singapore
Year and Date
2016-11-28
Related Report
Int'l Joint Research
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[Presentation] Explaining Item Ratings in Cosmetic Product Reviews2016
Author(s)
Yuuki Matsunami, Mayumi Ueda, Shinsuke Nakajima, Takeru Hashikami, Sunao Iwasaki, John O'Donovan, and Byungkyu Kang
Organizer
International MultiConference of Engineers and Computer Scientists 2016, ICICWS2016
Place of Presentation
The Royal Garden Hotel, Kowloon, Hong Kong
Year and Date
2016-03-16
Related Report
Int'l Joint Research
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[Presentation] ユーザの潜在的興味に基づくWeb広告推薦方式の検討2016
Author(s)
山口 由莉子, 森下 民平, 稲垣 陽一, 中本 レン, 張 建偉, 青井 順一, 中島 伸介
Organizer
第8回データ工学と情報マネジメントに関するフォーラム(DEIM Forum 2016)
Place of Presentation
ヒルトン福岡シーホーク(福岡県福岡市)
Year and Date
2016-02-29
Related Report
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[Presentation] パーチェスファネルに基づくWeb広告推薦手法の提案2015
Author(s)
山口 由莉子, 朝永 聖也, 中島 伸介, 稲垣 陽一, 中本 レン, 森下 民平
Organizer
第7回データ工学と情報マネジメントに関するフォーラム(DEIM Forum 2015)
Place of Presentation
磐梯熱海ホテル華の湯(福島県郡山市)
Year and Date
2015-03-02 – 2015-03-04
Related Report
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