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

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 c...

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Publicado en:International Anatolian Journal of Social Sciences / Uluslararasi Anadolu Sosyal Bilimler Dergisi Vol. 8; no. 1; pp. 15 - 36
Autor principal: POLATGİL, Mesut
Formato: Artículo
Publicado: Uluslararasi Anadolu Sosyal Bilimler Dergisi mar2024
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: mar2024
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      pub: Uluslararasi Anadolu Sosyal Bilimler Dergisi
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        atl: TOGG OTOMOBİLLERİ YOUTUBE VİDEO YORUMLARININ DUYGU ANALİZİ VE MAKİNE ÖĞRENME MODELİ İLE İNCELENMESİ.
      aug:
        au: POLATGİL, Mesut
        affil: Sivas Cumhuriyet Üniversitesi, Şarkışla Uygulamalı Bilimler Y.O.
      su:
        Social media
        Sentiment analysis
        Machine learning
        Electric automobiles
        Smart devices
      sug:
        subj:
          Social media
          Sentiment analysis
          Machine learning
          Electric automobiles
          Smart devices
      keyword:
        Electric Car
        Machine Learning
        Sentiment Analysis
        YouTube
        Duygu Analizi
        Elektrikli Otomobil
        Makine Öğrenmesi
        TOGG
        Electric Car
        Machine Learning
        Sentiment Analysis
        YouTube
        Duygu Analizi
        Elektrikli Otomobil
        Makine Öğrenmesi
        TOGG
      ab: 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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: Turkish
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