Presentation 2023-01-19
Narrative Characteristics Analysis for Light Novels
Satoshi Iwatsuru, Yutaka Matsuno,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In recent years, Japanese subcultures such as manga, video games and light novels have become an important part of Japanese industry. At the same time, a large number of narrative scenarios and contents are required. Therefore, research and development on feature analysis and automatic generation of stories to support the generation of scenarios and content has attracted attention. This research focuses on high-quality series light novels and aims to automatically generate high-quality narrative scenarios by analysing their features as factors. The quantitative analysis of the data obtained from a survey of the attributes of the works in this study suggests that there are five different patterns of high quality light novel series.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Narrative features / Feature analysis / Natural language processing
Paper # KBSE2022-44
Date of Issue 2023-01-12 (KBSE)

Conference Information
Committee KBSE
Conference Date 2023/1/19(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Takuya Saruwatari(NTT Data)
Vice Chair Yoshinori Tanabe(Tsurumi Univ.)
Secretary Yoshinori Tanabe(Osaka Inst. of Tech.)
Assistant Yoshitaka Aoki(BIPROGY) / Hiroki Horita(Ibaraki Univ.)

Paper Information
Registration To Technical Committee on Knowledge-Based Software Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Narrative Characteristics Analysis for Light Novels
Sub Title (in English)
Keyword(1) Narrative features
Keyword(2) Feature analysis
Keyword(3) Natural language processing
1st Author's Name Satoshi Iwatsuru
1st Author's Affiliation Graduate School of Nihon University(Nichidai)
2nd Author's Name Yutaka Matsuno
2nd Author's Affiliation Nihon University(Nichidai)
Date 2023-01-19
Paper # KBSE2022-44
Volume (vol) vol.122
Number (no) KBSE-345
Page pp.pp.7-12(KBSE),
#Pages 6
Date of Issue 2023-01-12 (KBSE)