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

^*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

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.

Original language	English
Title of host publication	Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference
Editors	Cengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	901-909
Number of pages	9
ISBN (Print)	9783030856250
DOIs	https://doi.org/10.1007/978-3-030-85626-7_105
Publication status	Published - 2022
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2021 - Istanbul, Turkey Duration: 24 Aug 2021 → 26 Aug 2021

Publication series

Name	Lecture Notes in Networks and Systems
Volume	307
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2021
Country/Territory	Turkey
City	Istanbul
Period	24/08/21 → 26/08/21

Bibliographical note

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

Keywords

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

Access to Document

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

Cite this

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; Vol. 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. editor / 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).

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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.",

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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",

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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, vol. 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; Vol. 307).

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

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AU - Akgun, Ayse Nisa

AU - Calisir, Zeynep Deren

AU - Kaya, Tolga

PY - 2022

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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.

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KW - Period of national literature

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KW - Republic period literature

KW - Sentiment analysis

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SN - 9783030856250

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A2 - Oztaysi, Basar

A2 - Tolga, A. Cagri

A2 - Sari, Irem Ucal

PB - Springer Science and Business Media Deutschland GmbH

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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, editors, 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

Abstract

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Bibliographical note

Keywords

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