小説読解におけるテキスト・マイニング手法の応用と日本語研究への課題

應用用於小閱讀方面之文方面之文本探勘手法以及日題；Application of Text Mining Methods to Novel Reading and Issues for Japanese Studies

"人文研究和以及與與現行透過大數據量解讀出的特徴來反映一般現象不同，若直接使用現今流行文本的話，會效果不彰。有必要為了補強質性分析的閱讀解讀，對於小規模的語言資料進行文字探勘，來找出與一般趨勢不同的意味堆疊的文本特徴。人文社會科系研究的語言的社會體裁，基方上是個體、一次性、歷史性的內容。這是因為人文社會研究和教育所處理的研究對象，所使用的量化方法跟質化方法是不同的，必須從法言材料的跨越時空讀取特徵通用性的。因此，在本論文將人性化的質化方法與AI的文本探勘結合，以針對句子和句子層面以及單詞層面的問題為目標，針對社會句子類型的於小說進行解析。結果顯示了新的研究問題和研究領域。研究結果顯示透過質化的閱讀理解來預先掌握文本的結構，可以預測從文本中解析出含義的各個維度，並且透過對其應用文本探勘方法，可以進行閱讀過程。文本探勘的應用可以將閱讀理解過程可視化和客觀化。常在被批評偏向主觀的人文社會研究，可以透過結合各種閱讀理解的質化分析和文本探勘的量化分析來提出客觀的閱讀過程。對於日本教育是有所幫助的。
The generalization of phenomena through the extraction of quantitative features from big data, which is currently underway, and research and education in the humanities are in opposite directions. If Research and education in the humanities is adopting the current popular methods, they are is not effective. Research and education in the humanities should rather conduct text mining on small-scale linguistic data in order to supplement reading comprehension through qualitative analysis, and discover the characteristics of texts as semantic fabrics that differ from general trends. The social genre of language, which is the subject of research in the humanities, is basically individual, one-time, and historical in nature. In addition, they deal with research objects that are different from quantitative methods that extract commonalities in the characteristics of time and space regarding linguistic materials. Therefore, in this paper, I have focused on the social text genre of novels, not only at the word level, but also at the sentence and text level. By combining the qualitative methods of the humanities with AI text mining, I have discovered a new research topic and developed a new research field. As a result, it was shown that by grasping the structure of the text in advance through qualitative reading, it is possible to predict each dimension of meaning that can be extracted from the text, and by applying text mining techniques to this, it is possible to visualize and objectify the reading process. In humanities research, which is often criticized for being subjective, combining qualitative analysis through various readings with quantitative analysis through text mining and other methods can make it possible to present an objective reading process."

人文研究和以及與與現行透過大數據量解讀出的特徴來反映一般現象不同，若直接使用現今流行文本的話，會效果不彰。有必要為了補強質性分析的閱讀解讀，對於小規模的語言資料進行文字探勘，來找出與一般趨勢不同的意味堆疊的文本特徴。人文社會科系研究的語言的社會體裁，基方上是個體、一次性、歷史性的內容。這是因為人文社會研究和教育所處理的研究對象，所使用的量化方法跟質化方法是不同的，必須從法言材料的跨越時空讀取特徵通用性的。因此，在本論文將人性化的質化方法與AI的文本探勘結合，以針對句子和句子層面以及單詞層面的問題為目標，針對社會句子類型的於小說進行解析。結果顯示了新的研究問題和研究領域。研究結果顯示透過質化的閱讀理解來預先掌握文本的結構，可以預測從文本中解析出含義的各個維度，並且透過對其應用文本探勘方法，可以進行閱讀過程。文本探勘的應用可以將閱讀理解過程可視化和客觀化。常在被批評偏向主觀的人文社會研究，可以透過結合各種閱讀理解的質化分析和文本探勘的量化分析來提出客觀的閱讀過程。對於日本教育是有所幫助的。
The generalization of phenomena through the extraction of quantitative features from big data, which is currently underway, and research and education in the humanities are in opposite directions. If Research and education in the humanities is adopting the current popular methods, they are is not effective. Research and education in the humanities should rather conduct text mining on small-scale linguistic data in order to supplement reading comprehension through qualitative analysis, and discover the characteristics of texts as semantic fabrics that differ from general trends. The social genre of language, which is the subject of research in the humanities, is basically individual, one-time, and historical in nature. In addition, they deal with research objects that are different from quantitative methods that extract commonalities in the characteristics of time and space regarding linguistic materials. Therefore, in this paper, I have focused on the social text genre of novels, not only at the word level, but also at the sentence and text level. By combining the qualitative methods of the humanities with AI text mining, I have discovered a new research topic and developed a new research field. As a result, it was shown that by grasping the structure of the text in advance through qualitative reading, it is possible to predict each dimension of meaning that can be extracted from the text, and by applying text mining techniques to this, it is possible to visualize and objectify the reading process. In humanities research, which is often criticized for being subjective, combining qualitative analysis through various readings with quantitative analysis through text mining and other methods can make it possible to present an objective reading process.