| Project/Area Number |
19700149
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Intelligent informatics
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| Research Institution | Tottori University |
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Principal Investigator |
MASATO Tokuhisa Tottori University, 工学研究科, 講師 (10274557)
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| Project Period (FY) |
2007 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥3,890,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥690,000)
Fiscal Year 2009: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2008: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2007: ¥900,000 (Direct Cost: ¥900,000)
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| Keywords | 自然言語処理 / Webドキュメント / テキストマイニング / 感情 / 情緒 / インターネット高度化 / 情報の分布 / データマインニング / 感情推定 / 情緒推定 / 評判分析 / 言語知識ベース / 分布調査 / 大衆 / 動向解析 / ツール / クローリング / 感性情報学 / パターン |
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| Research Abstract |
This report shows the development of ABLANA (Affective Blog Analyzer), which collects articles from blog sites in the Internet and infers emotions felt by people. ABLANA collects the articles in a time-sequence, displays the appearance of the keywords that people feel to by using Z-score, and classifies the keywords by interests/disaffections, for instance, the probability of emotions. Therefore, ABLANA is available to analyze people's trends and evaluations from the Internet for marketing- or political-analysis. In addition, the fundamental knowledge base for emotion reasoning, parameters of trend/evaluation, and examples of the analysis are explained.
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