워드임베딩 분석을 활용한 전기자동차와 하이브리드자동차 오피니언 마이닝

The automobile industry has a very important impact on the daily lives of modern consumers as well as society, culture, and economy. Due to the global change in eco-friendly consumption behavior and the strengthened environmental awareness of consumers after the pandemic, interest in eco-friendly cars is increasing, and electric cars and hybrid cars are acting as the main options for vehicle selection. To study the main factors affecting Korean consumers' perception of eco-friendly cars and their choice of eco-friendly cars, the development of word embedding technology, which quantifies correlations between words into multidimensional vectors according to meaning and context, has enabled computers to recognize natural language and even make inferences through vector operations. This study collects consumer reviews of eco-friendly, electric, and hybrid cars generated in real time on Twitter, which has a solid position in the global social media market, and applies the representative word2vec technique of word embedding. It shows that Korean consumers evaluate eco-friendly cars from a multifaceted perspective, including not only environmental impact but also technical features, economic benefits, and brand identity.