Decarbonization of Turkey: Text Mining Based Topic Modeling for the Literature

Selin Yilmaz*, Ercem Yeşil, Tolga Kaya

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The European Green Deal and Carbon Border Adjustment Mechanism, which both presented at the Paris Climate Conference in 2019, impose new costs on Energy-Intensive and Trade-Exposed sectors in countries that want to export to the European Union and force them into transformation. In this study, to provide a perspective for Turkey, which is one of the largest exporters to the European Union, the use cases realized in the European Union on decarbonization in energy-intensive and trade-exposed sectors are examined with the use of various text mining algorithms and machine learning techniques. A text corpus consisting of 100 different studies on the topic of concern is used for topic modeling with the aid of text mining algorithms such as term frequency and inverse document frequency, hierarchical clustering, and Latent Dirichlet Allocation methodologies for 5-topic generation towards topic-document association procedure. The study provides the fundamental literature-based topic modeling concerning the provided literature of industry-specific decarbonization studies, essential for guiding the future research towards the extracted key points for the policy development of a country under the context.

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2
EditorsCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, A. Cagri Tolga, Selcuk Cebi
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages8
ISBN (Print)9783031091759
Publication statusPublished - 2022
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2022 - Izmir, Turkey
Duration: 19 Jul 202221 Jul 2022

Publication series

NameLecture Notes in Networks and Systems
Volume505 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2022

Bibliographical note

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


  • CBAM
  • Decarbonization
  • Green deal
  • Latent Dirichlet Allocation
  • Text mining


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