Enhancing Multi Social Media Analysis Utilizing Real World Data
| Project/Area Number |
16H02905
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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 |
Web informatics, Service informatics
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| Research Institution | The University of Tokyo |
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Principal Investigator |
Toyoda Masashi 東京大学, 生産技術研究所, 教授 (60447349)
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| Research Collaborator |
Yoshinaga Naoki
Itoh Masahiko
Umemoto Kazutoshi
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| Project Period (FY) |
2016-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥17,810,000 (Direct Cost: ¥13,700,000、Indirect Cost: ¥4,110,000)
Fiscal Year 2018: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2017: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
Fiscal Year 2016: ¥6,760,000 (Direct Cost: ¥5,200,000、Indirect Cost: ¥1,560,000)
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| Keywords | ソーシャルウェブ / 実世界情報 |
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| Outline of Final Research Achievements |
This research aims to develop new real world applications by mutually analyzing and visualizing social media and sensor data. For extracting real world information from social media, we improved our emerging entity discovery methods, and proposed a method for retrieving information that affect people's behavior. Based on these methods, we constructed a visualization system for integrating social media and sensor data. The effectiveness of our methods was confirmed by case studies on disastrous situations such as typhoons and heavy rains.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究において提案した手法により、センサデータから得られる豪雨等の実世界イベントに対するソーシャルメディア上の言及を統合的に可視化することが可能となった。提案した手法は、災害時には被害状況の把握や復旧支援等に役立つとともに、平時においても人々の移動を支援するナビゲーションシステムにおいて大きなリスクを避けるために必要な情報を提供できるものであり、社会的な意義は大きい。
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Report
(4 results)
Research Products
(50 results)
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[Journal Article] Ordering Concepts Based on Common Attribute Intensity2016
Author(s)
Tatsuya Iwanari, Naoki Yoshinaga, Nobuhiro Kaji, Toshiharu Nishina, Masashi Toyoda, Masaru Kitsuregawa
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Journal Title
Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16)
Volume: -
Pages: 3747-3753
Related Report
Peer Reviewed / Acknowledgement Compliant
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[Presentation] Ordering Concepts Based on Common Attribute Intensity2016
Author(s)
Tatsuya Iwanari, Naoki Yoshinaga, Nobuhiro Kaji, Toshiharu Nishina, Masashi Toyoda, Masaru Kitsuregawa
Organizer
The 25th International Joint Conference on Artificial Intelligence (IJCAI-16)
Place of Presentation
ニューヨーク，アメリカ
Year and Date
2016-07-09
Related Report
Int'l Joint Research
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[Presentation] UT Dialogue System at NTCIR-12 STC2016
Author(s)
Shoetsu Sato, Shonosuke Ishiwatari, Naoki Yoshinaga, Masashi Toyoda and Masaru Kitsuregawa
Organizer
NTCIR-12 Conference on Evaluation of Information Access Technologies(NTCIR-12), STC: Short Text Conversation
Place of Presentation
学術国際センター，東京都
Year and Date
2016-06-07
Related Report
Int'l Joint Research
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