Exploration of the Waves of Feminism Using Sentiment Based Text Mining Techniques

H. Umutcan Ay; S. Nazlı Günesen; Tolga Kaya

doi:10.1007/978-3-030-51156-2_98

Exploration of the Waves of Feminism Using Sentiment Based Text Mining Techniques

H. Umutcan Ay^*, S. Nazlı Günesen, Tolga Kaya

^*Bu çalışma için yazışmadan sorumlu yazar

İşletme Mühendisliği Bölümü

Istanbul Technical University

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

Özet

The motives and the causes behind the evolvement of the feminist thought have been in the spotlight for many researchers. This study aims to explore the evolution of the driving forces of the feminist thought using text mining and clustering techniques. To do this, first, 443 relevant literary works published in the progressive time span of three waves of feminism are explored through bag of words method. Then, to address the wide span of topics within the third wave, hierarchical clustering is used. Finally, sentiment analysis is implemented to gain insight on the emotional trends within three successive waves. Results reveal an increasing emphasis on collectivism and globalization.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Techniques
Ana bilgisayar yayını alt yazısı	Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
Yayınlayan	Springer
Sayfalar	850-857
Sayfa sayısı	8
ISBN (Basılı)	9783030511555
DOI'lar	https://doi.org/10.1007/978-3-030-51156-2_98
Yayın durumu	Yayınlandı - 2021
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Turkey Süre: 21 Tem 2020 → 23 Tem 2020

Yayın serisi

Adı	Advances in Intelligent Systems and Computing
Hacim	1197 AISC
ISSN (Basılı)	2194-5357
ISSN (Elektronik)	2194-5365

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

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2020
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	21/07/20 → 23/07/20

Bibliyografik not

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Belgeye Erişim

10.1007/978-3-030-51156-2_98

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Umutcan Ay, H., Nazlı Günesen, S., & Kaya, T. (2021). Exploration of the Waves of Feminism Using Sentiment Based Text Mining Techniques. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference (pp. 850-857). (Advances in Intelligent Systems and Computing; Hac. 1197 AISC). Springer. https://doi.org/10.1007/978-3-030-51156-2_98

Umutcan Ay, H. ; Nazlı Günesen, S. ; Kaya, Tolga. / Exploration of the Waves of Feminism Using Sentiment Based Text Mining Techniques. Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A. Cagri Tolga. Springer, 2021. pp. 850-857 (Advances in Intelligent Systems and Computing).

@inproceedings{4ff386d2801a46c096a8aef4d2285f31,

title = "Exploration of the Waves of Feminism Using Sentiment Based Text Mining Techniques",

abstract = "The motives and the causes behind the evolvement of the feminist thought have been in the spotlight for many researchers. This study aims to explore the evolution of the driving forces of the feminist thought using text mining and clustering techniques. To do this, first, 443 relevant literary works published in the progressive time span of three waves of feminism are explored through bag of words method. Then, to address the wide span of topics within the third wave, hierarchical clustering is used. Finally, sentiment analysis is implemented to gain insight on the emotional trends within three successive waves. Results reveal an increasing emphasis on collectivism and globalization.",

keywords = "Bag of words method, Feminism, Hierarchical clustering, Machine learning, Sentiment analysis, Text mining",

author = "{Umutcan Ay}, H. and {Nazlı G{\"u}nesen}, S. and Tolga Kaya",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2020 ; Conference date: 21-07-2020 Through 23-07-2020",

year = "2021",

doi = "10.1007/978-3-030-51156-2_98",

language = "English",

isbn = "9783030511555",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "850--857",

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

booktitle = "Intelligent and Fuzzy Techniques",

address = "Germany",

}

Umutcan Ay, H, Nazlı Günesen, S & Kaya, T 2021, Exploration of the Waves of Feminism Using Sentiment Based Text Mining Techniques. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Advances in Intelligent Systems and Computing, hac. 1197 AISC, Springer, pp. 850-857, International Conference on Intelligent and Fuzzy Systems, INFUS 2020, Istanbul, Turkey, 21/07/20. https://doi.org/10.1007/978-3-030-51156-2_98

Exploration of the Waves of Feminism Using Sentiment Based Text Mining Techniques. / Umutcan Ay, H.; Nazlı Günesen, S.; Kaya, Tolga.
Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A. Cagri Tolga. Springer, 2021. p. 850-857 (Advances in Intelligent Systems and Computing; Hac. 1197 AISC).

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

TY - GEN

T1 - Exploration of the Waves of Feminism Using Sentiment Based Text Mining Techniques

AU - Umutcan Ay, H.

AU - Nazlı Günesen, S.

AU - Kaya, Tolga

PY - 2021

Y1 - 2021

N2 - The motives and the causes behind the evolvement of the feminist thought have been in the spotlight for many researchers. This study aims to explore the evolution of the driving forces of the feminist thought using text mining and clustering techniques. To do this, first, 443 relevant literary works published in the progressive time span of three waves of feminism are explored through bag of words method. Then, to address the wide span of topics within the third wave, hierarchical clustering is used. Finally, sentiment analysis is implemented to gain insight on the emotional trends within three successive waves. Results reveal an increasing emphasis on collectivism and globalization.

AB - The motives and the causes behind the evolvement of the feminist thought have been in the spotlight for many researchers. This study aims to explore the evolution of the driving forces of the feminist thought using text mining and clustering techniques. To do this, first, 443 relevant literary works published in the progressive time span of three waves of feminism are explored through bag of words method. Then, to address the wide span of topics within the third wave, hierarchical clustering is used. Finally, sentiment analysis is implemented to gain insight on the emotional trends within three successive waves. Results reveal an increasing emphasis on collectivism and globalization.

KW - Bag of words method

KW - Feminism

KW - Hierarchical clustering

KW - Machine learning

KW - Sentiment analysis

KW - Text mining

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DO - 10.1007/978-3-030-51156-2_98

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AN - SCOPUS:85088743606

SN - 9783030511555

T3 - Advances in Intelligent Systems and Computing

SP - 850

EP - 857

BT - Intelligent and Fuzzy Techniques

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A. Cagri

PB - Springer

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2020

Y2 - 21 July 2020 through 23 July 2020

ER -

Umutcan Ay H, Nazlı Günesen S, Kaya T. Exploration of the Waves of Feminism Using Sentiment Based Text Mining Techniques. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editörler, Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Springer. 2021. p. 850-857. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-51156-2_98

Exploration of the Waves of Feminism Using Sentiment Based Text Mining Techniques

Özet

Yayın serisi

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

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

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