- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on June 30, 2025】Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
イギリスにおけるミステリー黄金時代の女性作家作品の比較分析 Christie, SayersとAllingham
Bibliographic Information
- Other Title
-
- イギリス ニ オケル ミステリー オウゴンジダイ ノ ジョセイサッカ サクヒン ノ ヒカク ブンセキ Christie Sayers ト Allingham
Description
This study investigates characteristic words of works by Agatha Christie, a female mystery writer in the UK, comparing with other authors'ones. The selected authors for the comparison are Dorothy Sayers and Margery Allingham. All of them are famous female mystery writers during Britain's golden age of crime fiction. This study applied Random Forests, a machine learning method, for classifying the three authors'works and extracting characteristic words from each author's works. The accuracy of classification was a little low when short stories were included in the data for the analysis, but when only long novels were used in Random Forests, all the texts were correctly classified into three different groups with an accuracy of 100%. First, the extracted characteristic words from Christie's works are -ly adverbs. Christie might use these words to describe how the characters in her works acted or said something. Second, spoken vocabularies like yes, sure, and you are also extracted as characteristic words of Christie's works. This result should be because Christie's novels contain a lot of conversations between characters.
Journal
-
- 言語文化共同研究プロジェクト
-
言語文化共同研究プロジェクト 2017 19-29, 2018-05-30
Graduate School of Language and Culture, Osaka University
- Tweet
Details 詳細情報について
-
- CRID
- 1390290699788649088
-
- NII Article ID
- 120006484524
-
- DOI
- 10.18910/69899
-
- HANDLE
- 11094/69899
-
- Text Lang
- ja
-
- Article Type
- departmental bulletin paper
-
- Data Source
-
- JaLC
- IRDB
- CiNii Articles