A study on simultaneous extraction of SNS communities and terms
| Project/Area Number |
15K00309
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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 |
Intelligent informatics
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| Research Institution | The University of Tokushima |
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Principal Investigator |
Yoshida Minoru 徳島大学, 大学院社会産業理工学研究部(理工学域), 講師 (40361688)
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| Project Period (FY) |
2015-10-21 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2017: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | SNS / 分散表現 / コミュニティ抽出 / 用語抽出 / 単語分散表現 |
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| Outline of Final Research Achievements |
We studied a method for extracting communities (i.e., the users that have similar characteristics) and the terms used in the communities simultaneously, based on the assumption that similar communities use similar terms. We focus on the profiles written by the users on Twitter, and we developed a system that extract the frequently-used terms by the users with the profiles that include the given query word. We also developed a method for word distributed representations that reflect the co-occurrence of the words in profiles and tweets, and cluster users and tweets based on the learned vector representation.
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Report
(4 results)
Research Products
(14 results)
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[Presentation] 表形式からの分散表現獲得2016
Author(s)
吉田 稔, 松本 和幸, 北 研二
Organizer
情報処理学会第229回自然言語処理研究発表会
Place of Presentation
NTT武蔵野研究開発センタ（東京都武蔵野市）
Year and Date
2016-12-22
Related Report
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