Sentiment Analysis of The Public Perspective Electric Cars in Indonesia Using Support Vector Machine Algorithm

Transformation of energy use to switch to green energy consumption is urgently needed. Pollution levels and residual combustion yields have increased in each period. Air pollution is one of the contributors that plays a significant role in environmental air quality. Transportation accounts for about 27% of the air pollution generated from combustion gases. Governments in various countries. The main objective of this study is to find out how public sentiment towards electric car vehicles is through data sourced from data sets through the social media platform twitter and by using the analysis of the sentiment support vector machine approach as a data playing algorithm. The processed data set amounted to 1502 Tweet opinions with a positive sentiment classification distribution of 79%, negative sentiment of 21% with an accumulated accuracy rate of 87%. In addition, this study also visualizes the results of the analysis in the form of a value graph so that it can help electric vehicle industry players to understand public sentiment better and accurately and help data information to encourage the Indonesian government to increase the use of green energy that supports a green and sustainable environment.