Research on Communication Support with People and Their Attributes
| Project/Area Number |
24500291
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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 |
Library and information science/Humanistic social informatics
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| Research Institution | University of Tsukuba |
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Principal Investigator |
SEKI Yohei 筑波大学, 図書館情報メディア系, 助教 (00348468)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2013: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2012: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | 意見分析 / コーパス / 顔文字推薦 / 地域属性推定 / 半教師ありトピックモデル / ソーシャルクリエータ検索 / ソーシャルレシピ検索 / 読者間コミュニケーション支援 / コミュニケーション支援 / 意見分析コーパス / オープンデータ / クリエータ検索 / 実用的レシピ検索 / 言い換え表現抽出 / トピックモデル / 協調アノテーション / ソーシャルメディア / コミュニケーションタイプ / 感情推定 / イラスト投稿者の検索 / 印象推定 / 発話内行為 / クエリ拡張 |
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| Outline of Final Research Achievements |
We published six refereed journal papers, three refereed international conference papers, two refereed symposiums, two invited talks (at one international conference and at one domestic conference), and seventeen domestic conferences. Our research works were awarded in four academic societies, such as IPSJ Yamashita award, CEA 2014 Best Paper Award, etc. For communication support, we implemented emoticon recommendation, social creator search, and social recipe search. For people attributes, we created sentiment analysis corpus in community QA, and also implemented an estimation framework of Twitter user's life-area by semi-supervised topic model.
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Report
(4 results)
Research Products
(33 results)
