Analysis and Extraction of Non-stationary emotion from Social media
| Project/Area Number |
24500134
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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 |
Media informatics/Database
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| Research Institution | Konan University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
KUMAMOTO Tadahiko 千葉工業大学, 情報学部, 教授 (30358890)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 感情分析 / 感情軸 / Twitter / SNS / 顔文字 / 感情語辞書 / ツイート / ソーシャルメディア |
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| Outline of Final Research Achievements |
We had studied the analysis and extraction of emotion from social media such as Twitter and SNS. We studied as follows: (1)Creating emotion dictionary for Twitter, (2)Role of Emoticons for Multidimensional Sentiment Analysis of Twitter,(3)Emotion axis for Twitter, (4)Extracting tip information from SNS.
Our outputs are published 6 International Conference papers, on refereed domestic conference paper 15 non-refereed domestic conference papers, and one book.
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Report
(4 results)
Research Products
(24 results)
