Comparison of Classification Algorithms for Analysis Sentiment of Formula E Implementation in Indonesia

Abstract

The Formula E racing series has become one of the world's most prestigious competitions. In 2022, Indonesia hosted the famous Formula E race. The event possesses the potential for economic benefits for Indonesia worth 78 million euros through the arrival of 35,000 spectators. Indonesians are enthusiastic about Formula E since it allows their nation to encourage tourists and gain international prominence. However, some people do not support this event. Since they regard that amid the COVID-19 pandemic, it is preferable for the government to focus on people affected by the pandemic rather than support a Formula E event. This study compares the Support Vector Machine and Naive Bayes algorithms in classifying public opinion in the Formula E race. This study gets its information from user comments on social media platforms, especially Twitter. The stages start with text preprocessing and include cleaning, case folding, tokenization, filtering, and stemming. Proceed with weighting using the TF-IDF approach. Data testing uses a confusion matrix to evaluate the classification results by testing accuracy, precision, and recall. Categorizing public opinion using the SVM algorithm has an accuracy of 82 percent, a precision of 97.86 percent, and a recall of 77.90 percent. On the other hand, the accuracy of the Naive Bayes technique is more limited, at 87.54 percent. Society's opinion on Twitter shows positive sentiment towards implementing Formula E.

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“…However, some respondents highlighted the resources required to host such events. It is possible that those participants were trying to hint at the public funds used to support the Jakarta ePrix [14].…”

“…Jakarta Propertindo (JakPro) to manage the international racing event in 2020. The event was funded using public (APBD) funds [14]. The plans to host the Jakarta ePrix was met with mixed reactions from the public.…”

“…Despite mixed public reaction, the Formula E event in Indonesia garnered public support, as evidenced by sentiment analysis of social media posts indicating a positive inclination towards its implementation [14]. Setiawan et al [23] conducted a study on the factors and consequences of Formula E car racing in Jakarta as a tourist attraction, emphasising the importance of the event for the tourism sector in Jakarta.…”

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“…This method can also classify opinions based on previously trained data. The essence of naive Bayes is to find the highest probability of the data (Amsury et al, 2022). to be able to compare between the two algorithms, which is better for predicting classification.…”