Genre Visualization Based on Words Used in Text

Citations

SCOPUS

2

초록

Text visualization is one of sectors in data visualization. This study is on methods to visually represent text's contents, structure, and form aspects based on various analytic techniques about wide range of text data. In this study -as a text visualization study-, 1) a method to find out the characteristics of a book's genre using words in the text of the book was looked into, 2) elements of visualization of a book's genre based on verification through an experiment were drew, and 3) the ways to intuitionally and efficiently visualize this were explained. According to visualization suggested by this study, first, actual genre of a book can be understood based on words used in the book. Second, with which genre is closed to the book can be found out with one glance through images of visualization. Moreover, the characteristics of complicated genres included in a book can be understood. Furthermore, the level of closeness (similarity) of a genre -which is found to be a representative genre using the number of dots, curvature of a curve, and brightness in the image- can be assumed. Finally, the outcome of this study can be used for a variety of fields including book customizing service such as a book recommendation system that provides images of personal preference books or genres through application of books favored by individual customers. © Springer-Verlag Berlin Heidelberg 2013.

키워드

Book genre visualization; Data visualization; Text visualization; Visualization; Analytic technique; Individual customers; Personal preferences; Text data; Text visualization; Data visualization
제목
Genre Visualization Based on Words Used in Text
저자
Kim, H.; Park, J.W.
DOI
10.1007/978-3-642-39476-8_111
발행일
2013
유형
Conference Paper
저널명
Communications in Computer and Information Science
권
374
호
PART II
페이지
551 ~ 554