Study on Information Sharing Method by Multiple Latent Topics
| Project/Area Number |
19300032
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Media informatics/Database
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| Research Institution | National Institute of Informatics |
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Principal Investigator |
TAKASU Atsuhiro 国立情報学研究所, コンテンツ科学研究系, 教授 (90216648)
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| Co-Investigator(Kenkyū-buntansha) |
相原 健郎 国立情報学研究所, コンテンツ科学研究系, 准教授 (90300706)
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| Co-Investigator(Renkei-kenkyūsha) |
AIHARA Kenrou 国立情報学研究所, コンテンツ科学研究系, 准教授 (90300706)
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| Project Period (FY) |
2007 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥18,460,000 (Direct Cost: ¥14,200,000、Indirect Cost: ¥4,260,000)
Fiscal Year 2010: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2009: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2008: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2007: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
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| Keywords | テキスト処理 / トピックモデル / 機械学習 / 情報共有 / 多重トピックモデル |
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| Research Abstract |
The purpose of this study is to extract latent topics from text stream and to develop a method for sharing and utilizing stream documents. We studied this problem by(1) extracting feature phrases,(2) developing a latent topic model handling time information, and(3) applying it to information recommender systems. We proposed a information sharing and utilization method using latent topics.
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Report
(6 results)
Research Products
(45 results)
