Large-scale tensor decomposition for high-level information processing
Project/Area Number |
25880028
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Research Category |
Grant-in-Aid for Research Activity Start-up
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Allocation Type | Single-year Grants |
Research Field |
Intelligent informatics
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Research Institution | National Institute of Informatics |
Principal Investigator |
HAYASHI Kohei 国立情報学研究所, ビッグデータ数理国際研究センター, 特任助教 (30705059)
|
Project Period (FY) |
2013-08-30 – 2015-03-31
|
Project Status |
Completed (Fiscal Year 2014)
|
Budget Amount *help |
¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
|
Keywords | 非負行列分解 / Twitter / トピック抽出 / ストリーミング処理 / テンソル分解 / 確率勾配法 / 関係データ解析 / ソーシャルネットワーク解析 / トピックモデル |
Outline of Final Research Achievements |
We proposed a streaming algorithm of non-negative matrix factorization for a sequence of matrices such as time series. We evaluated its performance by applying to the Twitter stream, which is one of the popular social network services. Our algorithm allows to handle all Japanese tweets in real-time, which tells us what topics are "hot" in that moment for every second.
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Report
(3 results)
Research Products
(1 results)