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

^*Bu çalışma için yazışmadan sorumlu yazar

İşletme Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Editörler	Cengiz Kahraman, Irem Ucal Sari, Basar Oztaysi, Sezi Cevik Onar, Selcuk Cebi, A. Çağrı Tolga
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	709-716
Sayfa sayısı	8
ISBN (Basılı)	9783031397769
DOI'lar	https://doi.org/10.1007/978-3-031-39777-6_83
Yayın durumu	Yayınlandı - 2023
Etkinlik	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference - Istanbul, Turkey Süre: 22 Ağu 2023 → 24 Ağu 2023

Yayın serisi

Adı	Lecture Notes in Networks and Systems
Hacim	759 LNNS
ISSN (Basılı)	2367-3370
ISSN (Elektronik)	2367-3389

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	22/08/23 → 24/08/23

Bibliyografik not

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

Belgeye Erişim

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

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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; Hac. 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. editör / 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",

address = "Germany",

}

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, hac. 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; Hac. 759 LNNS).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

TY - GEN

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

AU - Köşnek, Derya

AU - Bozdağ, Sinem

AU - Kaya, Tolga

PY - 2023

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.

KW - Dall-E

KW - Epic Poetry

KW - Latent Dirichlet Allocation

KW - LexRank

KW - Machine Learning

KW - Sentiment Analysis

KW - Text Mining

KW - Text to Image Generation

KW - Topic Modelling

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

M3 - Conference contribution

AN - SCOPUS:85172727167

SN - 9783031397769

T3 - Lecture Notes in Networks and Systems

SP - 709

EP - 716

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

A2 - Kahraman, Cengiz

A2 - Sari, Irem Ucal

A2 - Oztaysi, Basar

A2 - Cevik Onar, Sezi

A2 - Cebi, Selcuk

A2 - Tolga, A. Çağrı

PB - Springer Science and Business Media Deutschland GmbH

T2 - Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference

Y2 - 22 August 2023 through 24 August 2023

ER -

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, editörler, 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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap