Sentiment Analysis of Video Game Console Pre-launching Tweets Using Python

Abstract

Sentiment analysis is an activity carried out to evaluate the level of public sentiment or public opinion related to something. This work observes the sentiment raised for Xbox Series X and PS5 on Twitter before the pre-launching date in Indonesia. The data itself is in the form of tweets from Indonesian people. We used Python for data scraping on Twitter API for September to November 2020 tweets. In this paper we do several methods for pre-processing such as data cleaning, transformation, reduction and implementation of machine learning such as Naïve Bayes and KNN algorithm, we tried to collect and classified the sentiment value for each tweet and performed the sentiment analysis. The result of this work shows the sentiment of Indonesian for both video game console before their release date. We compare both machine learning model to show that Naïve Bayes model is the best for this case.