Research on Communication Support with People and Their Attributes

2014 Fiscal Year Final Research Report

• Project/Area Number: 24500291
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Library and information science/Humanistic social informatics
• Research Institution: University of Tsukuba
• Principal Investigator: SEKI Yohei 筑波大学, 図書館情報メディア系, 助教 (00348468)
• Project Period (FY): 2012-04-01 – 2015-03-31
• 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

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.

Free Research Field

自然言語処理