| Paper Abstract and Keywords |
| Presentation |
2025-07-12 14:00
Proposal of a story structure extraction method using Latent Semantic Analysis (LSA)
-- Through text analysis of web novels -- Rieko Fujita, Akinori Takada (Ferris Univ.) TL2025-7 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
The “semantic structure” of many stories accepted today is an important clue to understanding the dominant values in our society. Structuralisim analysis of narrative has long served as a useful tool for this purpose. However, the classical approach of painstakingly reading and analyzing narratives has its limitations. In this study, we propose a method for extracting the semantic structure of a story using latent semantic analysis (LSA). Two web novels in the genre of “villainess reincarnation novels,” which have become popular among young people in recent years, were selected for the analysis. An appeal structure diagram based on the extracted story structure is presented, and the semantic structure and appeal of the “villainous daughter reincarnation novels” are also discussed. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
LSA / Latent Semantic Analysis / Semantic structure / Text analysis / Story structure / Appealing structure / Web nobels / |
| Reference Info. |
IEICE Tech. Rep., vol. 125, no. 113, TL2025-7, pp. 33-38, July 2025. |
| Paper # |
TL2025-7 |
| Date of Issue |
2025-07-05 (TL) |
| ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
TL2025-7 |
| Conference Information |
| Committee |
TL |
| Conference Date |
2025-07-12 - 2025-07-12 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Ehime University |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Theme 1: Learning through reflection, Metaverse, Designing learning environments with human mental characteristics, Theme 2: Arts and Language, "Ba" in Co-Creation, Abduction and Innovation Theme 3: Language and Learning, Language Learning |
| Paper Information |
| Registration To |
TL |
| Conference Code |
2025-07-TL |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Proposal of a story structure extraction method using Latent Semantic Analysis (LSA) |
| Sub Title (in English) |
Through text analysis of web novels |
| Keyword(1) |
LSA |
| Keyword(2) |
Latent Semantic Analysis |
| Keyword(3) |
Semantic structure |
| Keyword(4) |
Text analysis |
| Keyword(5) |
Story structure |
| Keyword(6) |
Appealing structure |
| Keyword(7) |
Web nobels |
| Keyword(8) |
|
| 1st Author's Name |
Rieko Fujita |
| 1st Author's Affiliation |
Ferris University Graduate School (Ferris Univ.) |
| 2nd Author's Name |
Akinori Takada |
| 2nd Author's Affiliation |
Ferris University (Ferris Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2025-07-12 14:00:00 |
| Presentation Time |
30 minutes |
| Registration for |
TL |
| Paper # |
TL2025-7 |
| Volume (vol) |
vol.125 |
| Number (no) |
no.113 |
| Page |
pp.33-38 |
| #Pages |
6 |
| Date of Issue |
2025-07-05 (TL) |