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質的研究におけるテキストマイニング活用の利点と留意点―活用研究の検討と頻出単語の特徴をもとに―
https://doi.org/10.15025/00000179
https://doi.org/10.15025/00000179fe071629-5c12-4de0-95ba-cbd25a55b458
名前 / ファイル | ライセンス | アクション |
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SCU13_05 (700.8 kB)
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2019-11-18 | |||||
タイトル | ||||||
タイトル | 質的研究におけるテキストマイニング活用の利点と留意点―活用研究の検討と頻出単語の特徴をもとに― | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Advantages and points to consider when applying quantitative text mining to qualitative Japanese text data: Based on a literature review of recent studies and linguistic features of Japanese words | |||||
言語 | ||||||
言語 | jpn | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | テキストマイニング | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 質的データ | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 「思う」 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 頻出語 | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Text mining | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Qualitative data | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | “Omou” | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Frequently occurring words | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | departmental bulletin paper | |||||
ID登録 | ||||||
ID登録 | 10.15025/00000179 | |||||
ID登録タイプ | JaLC | |||||
著者 |
町田, 佳世子
× 町田, 佳世子 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | 本稿では,アンケートの自由記述やインタビューの発話などから得られたテキストデータを計量的に分析するテキストマイニングの活用を考察するため,異なる研究領域で発表された直近の論文を概観し,テキストマイニングを用いてどのようなテキストデータに対しどのような分析を行ったか,質的分析との併用はあったかを調べた.さらに論文の研究領域や用いたデータにかかわらず,頻出語に「思う」が出現することを指摘し,その理由を日本語学の知見から検討した.人間の書き言葉や話し言葉をデータとして用いるテキストマイニングにおいては,数字をデータにする計量的分析と異なり,日本語という言語や言語使用に対する知識と洞察に基づいた入力データの処理が不可欠であることを述べた. | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | In an attempt to explore advantages of conducting quantitative text mining to qualitative data, this study examines qualitative research papers published in 2018 from ten different research fields that have applied text-mining quantitative methods to Japanese qualitative text data. The review revealed quantitative text-mining was used effectively to help researchers obtain a general picture of the data and generate key categories. It also revealed that regardless of the types of data, one of the most frequently used words obtained by word-frequency analysis was “ think ” or to-omou in Japanese. This study draws on Japanese linguistics research to explain why “think” appears so frequently in the data. In Japanese, “ think ” or to-omou has a function similar to a modal verb that moderates a speakerʼs statement for an interpersonal purpose. This study suggests appropriately eliminating such words from the data before importing them for analysis. | |||||
書誌情報 |
札幌市立大学研究論文集 en : SCU Journal of Design & Nursing 巻 13, 号 1, p. 47-53, 発行日 2019-07-30 |
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出版者 | ||||||
出版者 | 札幌市立大学 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1881-9427 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |