第49回可視化情報シンポジウムで太田 彩さんがベストプレゼンテーション賞を受賞しました。
修士１年生の太田 彩さんが第49回可視化情報シンポジウムのセッションOS9：ソーシャルデータの可視化で脇田と共著の論文 “小説内の動的人物相関図を用いた読書システム” に発表をし、ベストプレゼンテーション賞を受賞しました。
小説内の動的人物相関図を用いた読書システム (A reading system using dynamic character correlation in novels)
太田 彩 (Aya OTA)、脇田 建 (Ken WAKITA)
ABSTRACT: Books are reliable and excellent sources of information. However, reading requires long time constraints and the need to supplement the information from the text. Therefore, even if you have the desire and need to read, you may give up. For this reason, researches have been conducted to automatically extract information from novels and to assist the reader by representing the content of the story in a single page. However, there is a risk of spoiling. In this study, we propose a method to support reading by presenting a character correlation. In order to reduce the risk of spoilers, we propose a character correlation chart that changes as the reading progresses. We used two methods to add information: automatic extraction using natural language processing techniques and manual addition. In addition, by sharing the input information with others, we were able to reduce the time and effort required to input information. In order to verify the effectiveness of the proposed method, we constructed a reading support system using Aozora Bunko data. Finally, we discussed the degree of achievement and issues in comparison with the objectives.
Keywords: visualization / dynamic graph / natural language processing
