BERTOPİC KONU MODELLEME TEKNİĞİ İLE ELEKTRİKLİ OTOMOBİLLER ÜZERİNE BİR ÇALIŞMA

Abstract

Günümüzde teknolojinin hızla gelişmesiyle birlikte çevre dostu ve yenilikçi otomobillerin kullanımı artmaya devam etmektedir. Bu otomobiller arasında özellikle elektrikli araçlara yönelik ilgi giderek artmakta, ancak tüketicilerin yetersiz bulduğu hususların hızlı bir şekilde çözülmesi, bu araçların kabulü açısından büyük önem taşımaktadır. Potansiyel müşteri sayısındaki hızlı artış, üretilen veri hacminin büyük ölçüde genişlemesine neden olmakta ve bu verilerin etkin bir şekilde işlenmesi için ileri analitik tekniklerin kullanımını zorunlu hale getirmektedir. Bu bağlamda, yapay zekâ ve doğal dil işleme (NLP) yöntemleri, müşteri verilerinin anlamlandırılması, sınıflandırılması ve tahmin edilmesi süreçlerinde önemli bir rol oynamaktadır. Yenilikçi yöntem ve uygulamalar, sorunların çözümünde işletmelere ekonomik yönden önemli avantajlar sağlamaktadır. Bu çalışmanın amacı, tüketicilerin elektrikli otomobillere yönelik beklentilerini, kaygılarını, eleştirilerini ve şikayetlerini belirleyerek, üreticilere ve pazarlamacılara çözüm geliştirme konusunda öneriler sunmaktır. Çalışmada, müşteri şikayetlerinin hangi konular etrafında yoğunlaştığını belirlemek amacıyla BERTopic konu modelleme tekniği kullanılmıştır. Veri seti olarak, 1.01.2024- 1.01. 2025 tarihleri arasında bir elektrikli otomobil şirketine yapılan şikayetler sınıflandırılarak analiz edilmiştir. Elde edilen bulgular, işletmelerin elektrikli otomobillere yönelik müşteri beklentilerini daha iyi karşılamalarına ve satın alma davranışlarını olumlu yönde etkilemelerine katkı sağlayabilir.

Keywords

• Müşteri Şikayetlerinin Sınıflandırma
• Konu Modelleme
• BERTopic
• İnovasyon
• Elektrikli Otomobiller

A STUDY ON ELECTRIC CARS USING BERTOPIC TOPIC MODELING TECHNIQUE

Abstract

Today, with the rapid development of technology, the use of environmentally friendly and innovative automobiles continues to increase. Among these automobiles, there is a growing interest in electric vehicles, but it is of great importance for the acceptance of these vehicles to quickly resolve the issues that consumers find inadequate. The rapid increase in the number of potential customers leads to a significant expansion in the volume of data generated and necessitates the use of advanced analytical techniques to process this data effectively. In this context, artificial intelligence and natural language processing (NLP) methods play an important role in the processes of interpreting, classifying and predicting customer data. Innovative methods and applications provide significant economic advantages to businesses in solving problems. The aim of this study is to determine the expectations, concerns, criticisms and complaints of consumers towards electric cars and to provide suggestions to manufacturers and marketers to develop solutions. In the study, BERTopic topic modelling technique was used to determine around which topics customer complaints are concentrated. As a data set, the complaints made to a electric car company between 1 January 2024 and 1 January 2025 were classified and analysed. The findings obtained can contribute to businesses to better meet customer expectations for electric cars and positively influence their purchasing behaviour.

Keywords

• Customer Complaint Classification
• Topic Modelling
• BERTopic
• Innovation
• Electric Cars

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