Epic Poetry Summarization and Visualization by Using Sentiment Analysis, Topic Modeling and DALL-E

Derya Köşnek; Sinem Bozdağ; Tolga Kaya

doi:10.1007/978-3-031-39777-6_83

Epic Poetry Summarization and Visualization by Using Sentiment Analysis, Topic Modeling and DALL-E

Derya Köşnek, Sinem Bozdağ^*, Tolga Kaya

^*Corresponding author for this work

Department of Management Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Epics are the narratives of generally exceptional illustrations of the nation’s cultural heritage and reflect the cultural elements of the era that epic occurred. Epics are also studied by social scientists and linguists and they are about to vanish from the history. Since these are works from centuries ago, there are no images or visual records of the events. However, the detailed descriptions of characters and environments are accessible through the chapters of the epics. This study aims to suggest a framework for epic poetry summary extraction based on text mining and image generation techniques. As a result of combining the results of the used algorithms, a final output was obtained that will reveal the themes of the chapters of the epics. The outputs of the model were given as input to the text-to-image application DALL-E, and the main ideas were visualized. Results show that obtained summaries are in line with the epic literature.

Original language	English
Title of host publication	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Editors	Cengiz Kahraman, Irem Ucal Sari, Basar Oztaysi, Sezi Cevik Onar, Selcuk Cebi, A. Çağrı Tolga
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	709-716
Number of pages	8
ISBN (Print)	9783031397769
DOIs	https://doi.org/10.1007/978-3-031-39777-6_83
Publication status	Published - 2023
Event	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference - Istanbul, Turkey Duration: 22 Aug 2023 → 24 Aug 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	759 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Country/Territory	Turkey
City	Istanbul
Period	22/08/23 → 24/08/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Dall-E
Epic Poetry
Latent Dirichlet Allocation
LexRank
Machine Learning
Sentiment Analysis
Text Mining
Text to Image Generation
Topic Modelling

Access to Document

10.1007/978-3-031-39777-6_83

Cite this

Köşnek, D., Bozdağ, S., & Kaya, T. (2023). Epic Poetry Summarization and Visualization by Using Sentiment Analysis, Topic Modeling and DALL-E. In C. Kahraman, I. U. Sari, B. Oztaysi, S. Cevik Onar, S. Cebi, & A. Ç. Tolga (Eds.), Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference (pp. 709-716). (Lecture Notes in Networks and Systems; Vol. 759 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-39777-6_83

Köşnek, Derya ; Bozdağ, Sinem ; Kaya, Tolga. / Epic Poetry Summarization and Visualization by Using Sentiment Analysis, Topic Modeling and DALL-E. Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. editor / Cengiz Kahraman ; Irem Ucal Sari ; Basar Oztaysi ; Sezi Cevik Onar ; Selcuk Cebi ; A. Çağrı Tolga. Springer Science and Business Media Deutschland GmbH, 2023. pp. 709-716 (Lecture Notes in Networks and Systems).

@inproceedings{fe486506f4b847fd989a3ee5b8c27c13,

title = "Epic Poetry Summarization and Visualization by Using Sentiment Analysis, Topic Modeling and DALL-E",

abstract = "Epics are the narratives of generally exceptional illustrations of the nation{\textquoteright}s cultural heritage and reflect the cultural elements of the era that epic occurred. Epics are also studied by social scientists and linguists and they are about to vanish from the history. Since these are works from centuries ago, there are no images or visual records of the events. However, the detailed descriptions of characters and environments are accessible through the chapters of the epics. This study aims to suggest a framework for epic poetry summary extraction based on text mining and image generation techniques. As a result of combining the results of the used algorithms, a final output was obtained that will reveal the themes of the chapters of the epics. The outputs of the model were given as input to the text-to-image application DALL-E, and the main ideas were visualized. Results show that obtained summaries are in line with the epic literature.",

keywords = "Dall-E, Epic Poetry, Latent Dirichlet Allocation, LexRank, Machine Learning, Sentiment Analysis, Text Mining, Text to Image Generation, Topic Modelling",

author = "Derya K{\"o}{\c s}nek and Sinem Bozdağ and Tolga Kaya",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference ; Conference date: 22-08-2023 Through 24-08-2023",

year = "2023",

doi = "10.1007/978-3-031-39777-6_83",

language = "English",

isbn = "9783031397769",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "709--716",

editor = "Cengiz Kahraman and Sari, {Irem Ucal} and Basar Oztaysi and {Cevik Onar}, Sezi and Selcuk Cebi and Tolga, {A. {\c C}ağrı}",

booktitle = "Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference",

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}

Köşnek, D, Bozdağ, S & Kaya, T 2023, Epic Poetry Summarization and Visualization by Using Sentiment Analysis, Topic Modeling and DALL-E. in C Kahraman, IU Sari, B Oztaysi, S Cevik Onar, S Cebi & AÇ Tolga (eds), Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. Lecture Notes in Networks and Systems, vol. 759 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 709-716, Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, Istanbul, Turkey, 22/08/23. https://doi.org/10.1007/978-3-031-39777-6_83

Epic Poetry Summarization and Visualization by Using Sentiment Analysis, Topic Modeling and DALL-E. / Köşnek, Derya; Bozdağ, Sinem; Kaya, Tolga.
Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. ed. / Cengiz Kahraman; Irem Ucal Sari; Basar Oztaysi; Sezi Cevik Onar; Selcuk Cebi; A. Çağrı Tolga. Springer Science and Business Media Deutschland GmbH, 2023. p. 709-716 (Lecture Notes in Networks and Systems; Vol. 759 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Epic Poetry Summarization and Visualization by Using Sentiment Analysis, Topic Modeling and DALL-E

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AU - Bozdağ, Sinem

AU - Kaya, Tolga

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Y1 - 2023

N2 - Epics are the narratives of generally exceptional illustrations of the nation’s cultural heritage and reflect the cultural elements of the era that epic occurred. Epics are also studied by social scientists and linguists and they are about to vanish from the history. Since these are works from centuries ago, there are no images or visual records of the events. However, the detailed descriptions of characters and environments are accessible through the chapters of the epics. This study aims to suggest a framework for epic poetry summary extraction based on text mining and image generation techniques. As a result of combining the results of the used algorithms, a final output was obtained that will reveal the themes of the chapters of the epics. The outputs of the model were given as input to the text-to-image application DALL-E, and the main ideas were visualized. Results show that obtained summaries are in line with the epic literature.

AB - Epics are the narratives of generally exceptional illustrations of the nation’s cultural heritage and reflect the cultural elements of the era that epic occurred. Epics are also studied by social scientists and linguists and they are about to vanish from the history. Since these are works from centuries ago, there are no images or visual records of the events. However, the detailed descriptions of characters and environments are accessible through the chapters of the epics. This study aims to suggest a framework for epic poetry summary extraction based on text mining and image generation techniques. As a result of combining the results of the used algorithms, a final output was obtained that will reveal the themes of the chapters of the epics. The outputs of the model were given as input to the text-to-image application DALL-E, and the main ideas were visualized. Results show that obtained summaries are in line with the epic literature.

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M3 - Conference contribution

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BT - Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference

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Köşnek D, Bozdağ S, Kaya T. Epic Poetry Summarization and Visualization by Using Sentiment Analysis, Topic Modeling and DALL-E. In Kahraman C, Sari IU, Oztaysi B, Cevik Onar S, Cebi S, Tolga AÇ, editors, Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. Springer Science and Business Media Deutschland GmbH. 2023. p. 709-716. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-39777-6_83

Epic Poetry Summarization and Visualization by Using Sentiment Analysis, Topic Modeling and DALL-E

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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