Comprehensive research on content analysis and semi-automated content analysis for human values in texts
Project/Area Number |
18H03495
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 一般 |
Review Section |
Basic Section 90020:Library and information science, humanistic and social informatics-related
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Research Institution | Kyushu University |
Principal Investigator |
Ishita Emi 九州大学, データ駆動イノベーション推進本部, 教授 (50364815)
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Co-Investigator(Kenkyū-buntansha) |
冨浦 洋一 九州大学, システム情報科学研究院, 教授 (10217523)
福田 悟志 中央大学, 理工学部, 助教 (10817555)
大賀 哲 九州大学, 法学研究院, 准教授 (90445718)
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Project Period (FY) |
2018-04-01 – 2022-03-31
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Project Status |
Completed (Fiscal Year 2022)
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Budget Amount *help |
¥15,600,000 (Direct Cost: ¥12,000,000、Indirect Cost: ¥3,600,000)
Fiscal Year 2021: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2020: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2019: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2018: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
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Keywords | 内容分析 / 自動分類 / 人の価値観 / 原発事故 / コーディングの質向上 / バンデットアルゴリズム / 効果的な学習用集合の分析 / 効率的な学習用集合の分析 / 価値観フレームの構築支援 / 内容分析の半自動化 / 分類器の適用 |
Outline of Final Research Achievements |
To develop a semi-automatic content analysis of human values appearing in newspaper editorials related to the nuclear power plant disaster, we divided the content analysis into three stages and proposed to use a classifier for each stage. Manual coding results were used to train the classifiers for the content analysis. We developed a method for efficiently improving the quality of the manual coding results. We also developed a method for selecting training data for classifiers efficiently. Finally, we studied methods to find new human value categories.
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Academic Significance and Societal Importance of the Research Achievements |
質的な研究手法である内容分析に対して、内容分析の質を極力落とさずに、できるだけ自動的な手法を取り入れ、人の労力を減らすためのアプローチ、手法の開発・提案に取り組んだ。主に、内容分析を3ステージに分け、それぞれに分類器を用いる半自動化の方法の提案、分類器に必要な質の高いデータを効率的に構築する手法、分類器が効率的に学習するための学習用データの選択手法等を開発することで、内容分析の効率化に貢献したといえる。
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Report
(5 results)
Research Products
(16 results)
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[Journal Article] Content Analysis of Library Use on Microblog: Pre-coding Results.2019
Author(s)
Kodama, Mei; Abe, Kaori; Fukushima, Kana; Hayashi, Eri; Hua, Zhiyi; Jiang, Min; Kang, Ping; Nishida, Emi; Sakai, Shinji; Tomiura, Yoichi; Watanabe, Yukiko; Ishita, Emi;
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Journal Title
Proceedings of the 9th Asia-Pacific Conference on Library & Library Education and Practice (A-LIEP 2019)
Volume: 2019
Pages: 423-428
Related Report
Peer Reviewed / Open Access
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