Sentiment Analysis Using Support Vector Machine (SVM) of ChatGPT Application Users in Play Store

Abstrak

The ChatGPT application is an AI technology to responds the conversations in form text and voice messages, and it acces via smartphones or computers. The ChatGPT provide answers and solutions related to the problems asked, also the speed and complexity of the answers are an added value of this application. However, there are negative impacts, one of which is vulnerable to plagiarism of scientific papers. Because of this, there are many reviews from the community that assess this application. These reviews can be seen from the Play Store which can be a reference before downloading the ChatGPT application. How the community responds can be seen with sentiment analysis which will classify positive and negative assessments. Making it easier for companies to evaluate products. Then classification is carried out using Support Vector Machine (SVM), the classification model obtained is used to classify user reviews of the ChatGPT application. The results showed an accuracy of 93.9% with a linear kernel, and the sentiment of people who use the ChatGPT application is more positive.