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EMOTIONAL ANALYSIS OF TOGG CARS YOUTUBE VIDEO COMMENTS AND EXAMINATION WITH MACHINE LEARNING MODEL

Year 2024, Volume: 8 Issue: 1, 15 - 35, 30.03.2024
https://doi.org/10.47525/ulasbid.1398206

Abstract

Electric cars are currently more advantageous and popular compared to traditional cars due to their environmentally friendly nature. In collaboration with TOGG, Turkey has begun producing its electric car, generating excitement and curiosity among the public. Many individuals seek to satisfy their curiosity by watching videos and engaging in discussions on social media. Furthermore, the comments left on each video and the interactions among users have resulted in a significant amount of data. This study aims to investigate social media user perceptions related to TOGG cars. In this context, comments left by users on the top three most-watched videos on the YouTube platform were analyzed, and sentiment analysis of these comments was conducted. The analysis revealed that the majority of comments related to TOGG were predominantly positive. It was determined that consumers perceive TOGG more as a smart device than just an automobile, consistent with the claims made by the company. This finding is one of the significant outcomes of the study. Finally, sentiment classification using machine learning algorithms achieved a classification success rate of approximately 85%. It is believed that this study will provide valuable information to both TOGG company officials and individuals considering purchasing TOGG cars.

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TOGG OTOMOBİLLERİ YOUTUBE VİDEO YORUMLARININ DUYGU ANALİZİ VE MAKİNE ÖĞRENME MODELİ İLE İNCELENMESİ

Year 2024, Volume: 8 Issue: 1, 15 - 35, 30.03.2024
https://doi.org/10.47525/ulasbid.1398206

Abstract

Elektrikli otomobiller, çevre dostu olmaları ile geleneksel otomobillere göre daha avantajlı ve popüler durumdadır. Türkiye, TOGG ile birlikte elektrikli arabasını üretmeye başlamıştır. Bu durum insanlarda heyecan ve merak uyandırmıştır. Birçok insan bu merakını sosyal medyada videolar izleyerek ve yorumlar ile etkileşim kurarak gidermeye çalışmaktadır. Ayrıca her videoya bırakılan yorumlar ve kullanıcıların birbiri ile etkileşimleri neticesinde büyük bir veri ortaya çıkmıştır. Bu çalışmada TOGG otomobillerine ilişkin sosyal medya kullanıcı algılarının araştırılması amaçlanmış, bu kapsamda YouTube platformundaki kullanıcıların en çok izlenen üç videoya bıraktıkları yorumlar analiz edilmiş, bu yorumların duygu analizi gerçekleştirilmiştir. Analiz sonucunda TOGG ile ilgili yorumların çoğunlukla pozitif olduğu tespit edilmiş ve firmanın iddia ettiği gibi tüketicilerin de TOGG’u bir otomobilden çok akıllı cihaz olarak algıladıkları anlaşılmıştır. Bu husus çalışmanın önemli sonuçlarındandır. Son olarak, makine öğrenmesi algoritmaları ile duygu sınıflandırması gerçekleştirilerek yaklaşık %85 başarı ile sınıflandırma sağlanmıştır. Çalışmanın hem TOGG firmasının yetkililerine hem de TOGG otomobillerini satın alacak kişilere bilgi sağlayacağı düşünülmektedir.

References

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  • Mishev, K., Gjorgjevikj, A., Vodenska, I., Chitkushev, L. T., & Trajanov, D. (2020). Evaluation of sentiment analysis in finance: from lexicons to transformers. IEEE Access, 8, 131662-131682.
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There are 63 citations in total.

Details

Primary Language Turkish
Subjects Sociology (Other)
Journal Section Articles
Authors

Mesut Polatgil 0000-0002-7503-2977

Early Pub Date January 23, 2024
Publication Date March 30, 2024
Submission Date November 30, 2023
Acceptance Date January 22, 2024
Published in Issue Year 2024 Volume: 8 Issue: 1

Cite

APA Polatgil, M. (2024). TOGG OTOMOBİLLERİ YOUTUBE VİDEO YORUMLARININ DUYGU ANALİZİ VE MAKİNE ÖĞRENME MODELİ İLE İNCELENMESİ. Uluslararası Anadolu Sosyal Bilimler Dergisi, 8(1), 15-35. https://doi.org/10.47525/ulasbid.1398206

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