Investigation of Turkish Literary Poetry by Unsupervised Text Mining Methods

Ayse Nisa Akgun; Zeynep Deren Calisir; Tolga Kaya

doi:10.1007/978-3-030-85626-7_105

Investigation of Turkish Literary Poetry by Unsupervised Text Mining Methods

Ayse Nisa Akgun^*, Zeynep Deren Calisir, Tolga Kaya

^*Bu çalışma için yazışmadan sorumlu yazar

İşletme Mühendisliği Bölümü

Istanbul Technical University

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

Özet

With this study, it is aimed to analyze the change in Turkish literature with unsupervised text mining techniques based on the poems in the National Literature Period and the Republic Period. The reason for the election of these two periods is that there were changes in the Turkish language between periods and the establishment of the republic created changes in the feelings and thoughts of the people. To do this analysis, a data set including 116 republican period poems and 93 national period poems was created. The prominent issues of the periods and the public opinion were interpreted as a result of the studies. Sentiment analysis was made on poems and the changes in feelings experienced by the nation were also examined. The poems are divided into both positives and overwhelming emotions. They are divided into “surprising”, “happy”, “sad”, “disgust”, “fear”, and “anger” categories to examine feelings in more detail. When the project outputs were examined, it was seen that after the declaration of the republic, the positivity in the poems increased and the feelings became more balanced.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference
Editörler	Cengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	901-909
Sayfa sayısı	9
ISBN (Basılı)	9783030856250
DOI'lar	https://doi.org/10.1007/978-3-030-85626-7_105
Yayın durumu	Yayınlandı - 2022
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2021 - Istanbul, Turkey Süre: 24 Ağu 2021 → 26 Ağu 2021

Yayın serisi

Adı	Lecture Notes in Networks and Systems
Hacim	307
ISSN (Basılı)	2367-3370
ISSN (Elektronik)	2367-3389

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

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2021
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	24/08/21 → 26/08/21

Bibliyografik not

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Belgeye Erişim

10.1007/978-3-030-85626-7_105

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Akgun, A. N., Calisir, Z. D., & Kaya, T. (2022). Investigation of Turkish Literary Poetry by Unsupervised Text Mining Methods. In C. Kahraman, S. Cebi, S. Cevik Onar, B. Oztaysi, A. C. Tolga, & I. U. Sari (Eds.), Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference (pp. 901-909). (Lecture Notes in Networks and Systems; Hac. 307). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-85626-7_105

Akgun, Ayse Nisa ; Calisir, Zeynep Deren ; Kaya, Tolga. / Investigation of Turkish Literary Poetry by Unsupervised Text Mining Methods. Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference. editör / Cengiz Kahraman ; Selcuk Cebi ; Sezi Cevik Onar ; Basar Oztaysi ; A. Cagri Tolga ; Irem Ucal Sari. Springer Science and Business Media Deutschland GmbH, 2022. pp. 901-909 (Lecture Notes in Networks and Systems).

@inproceedings{2fbe29cf44cc4e29b4fe9c8128a15c7b,

title = "Investigation of Turkish Literary Poetry by Unsupervised Text Mining Methods",

abstract = "With this study, it is aimed to analyze the change in Turkish literature with unsupervised text mining techniques based on the poems in the National Literature Period and the Republic Period. The reason for the election of these two periods is that there were changes in the Turkish language between periods and the establishment of the republic created changes in the feelings and thoughts of the people. To do this analysis, a data set including 116 republican period poems and 93 national period poems was created. The prominent issues of the periods and the public opinion were interpreted as a result of the studies. Sentiment analysis was made on poems and the changes in feelings experienced by the nation were also examined. The poems are divided into both positives and overwhelming emotions. They are divided into “surprising”, “happy”, “sad”, “disgust”, “fear”, and “anger” categories to examine feelings in more detail. When the project outputs were examined, it was seen that after the declaration of the republic, the positivity in the poems increased and the feelings became more balanced.",

keywords = "Literature mining, Machine learning, Period of national literature, Poem analysis, Republic period literature, Sentiment analysis, Text mining analysis in the Turkish language",

author = "Akgun, {Ayse Nisa} and Calisir, {Zeynep Deren} and Tolga Kaya",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2021 ; Conference date: 24-08-2021 Through 26-08-2021",

year = "2022",

doi = "10.1007/978-3-030-85626-7_105",

language = "English",

isbn = "9783030856250",

series = "Lecture Notes in Networks and Systems",

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

pages = "901--909",

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

booktitle = "Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference",

address = "Germany",

}

Akgun, AN, Calisir, ZD & Kaya, T 2022, Investigation of Turkish Literary Poetry by Unsupervised Text Mining Methods. in C Kahraman, S Cebi, S Cevik Onar, B Oztaysi, AC Tolga & IU Sari (eds), Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference. Lecture Notes in Networks and Systems, hac. 307, Springer Science and Business Media Deutschland GmbH, pp. 901-909, International Conference on Intelligent and Fuzzy Systems, INFUS 2021, Istanbul, Turkey, 24/08/21. https://doi.org/10.1007/978-3-030-85626-7_105

Investigation of Turkish Literary Poetry by Unsupervised Text Mining Methods. / Akgun, Ayse Nisa; Calisir, Zeynep Deren; Kaya, Tolga.
Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference. ed. / Cengiz Kahraman; Selcuk Cebi; Sezi Cevik Onar; Basar Oztaysi; A. Cagri Tolga; Irem Ucal Sari. Springer Science and Business Media Deutschland GmbH, 2022. p. 901-909 (Lecture Notes in Networks and Systems; Hac. 307).

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

TY - GEN

T1 - Investigation of Turkish Literary Poetry by Unsupervised Text Mining Methods

AU - Akgun, Ayse Nisa

AU - Calisir, Zeynep Deren

AU - Kaya, Tolga

PY - 2022

Y1 - 2022

N2 - With this study, it is aimed to analyze the change in Turkish literature with unsupervised text mining techniques based on the poems in the National Literature Period and the Republic Period. The reason for the election of these two periods is that there were changes in the Turkish language between periods and the establishment of the republic created changes in the feelings and thoughts of the people. To do this analysis, a data set including 116 republican period poems and 93 national period poems was created. The prominent issues of the periods and the public opinion were interpreted as a result of the studies. Sentiment analysis was made on poems and the changes in feelings experienced by the nation were also examined. The poems are divided into both positives and overwhelming emotions. They are divided into “surprising”, “happy”, “sad”, “disgust”, “fear”, and “anger” categories to examine feelings in more detail. When the project outputs were examined, it was seen that after the declaration of the republic, the positivity in the poems increased and the feelings became more balanced.

AB - With this study, it is aimed to analyze the change in Turkish literature with unsupervised text mining techniques based on the poems in the National Literature Period and the Republic Period. The reason for the election of these two periods is that there were changes in the Turkish language between periods and the establishment of the republic created changes in the feelings and thoughts of the people. To do this analysis, a data set including 116 republican period poems and 93 national period poems was created. The prominent issues of the periods and the public opinion were interpreted as a result of the studies. Sentiment analysis was made on poems and the changes in feelings experienced by the nation were also examined. The poems are divided into both positives and overwhelming emotions. They are divided into “surprising”, “happy”, “sad”, “disgust”, “fear”, and “anger” categories to examine feelings in more detail. When the project outputs were examined, it was seen that after the declaration of the republic, the positivity in the poems increased and the feelings became more balanced.

KW - Literature mining

KW - Machine learning

KW - Period of national literature

KW - Poem analysis

KW - Republic period literature

KW - Sentiment analysis

KW - Text mining analysis in the Turkish language

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DO - 10.1007/978-3-030-85626-7_105

M3 - Conference contribution

AN - SCOPUS:85115048174

SN - 9783030856250

T3 - Lecture Notes in Networks and Systems

SP - 901

EP - 909

BT - Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference

A2 - Kahraman, Cengiz

A2 - Cebi, Selcuk

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Tolga, A. Cagri

A2 - Sari, Irem Ucal

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2021

Y2 - 24 August 2021 through 26 August 2021

ER -

Akgun AN, Calisir ZD, Kaya T. Investigation of Turkish Literary Poetry by Unsupervised Text Mining Methods. In Kahraman C, Cebi S, Cevik Onar S, Oztaysi B, Tolga AC, Sari IU, editörler, Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference. Springer Science and Business Media Deutschland GmbH. 2022. p. 901-909. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-030-85626-7_105

Investigation of Turkish Literary Poetry by Unsupervised Text Mining Methods

Özet

Yayın serisi

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Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

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