2009 Fiscal Year Final Research Report
Development of information-distribution analyzer from the internet based on affective language expressions
| 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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| 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 |
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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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