@inproceedings{bc070875daa744a38719df4325c7f03a,
title = "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 Na{\"i}ve 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 Na{\"i}ve Bayes model is the best for this case.",
keywords = "KNN algorithm, Machine Learning, Na{\"i}ve Bayes, Sentiment analysis",
author = "{Mohammad Farma}, Fadel and Kevinaldo Barevan and Ibrahim Tarigan and {Fitri Sari}, Riri",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 7th International Conference on Computing, Engineering and Design, ICCED 2021 ; Conference date: 05-08-2021 Through 06-08-2021",
year = "2021",
doi = "10.1109/ICCED53389.2021.9664856",
language = "English",
series = "7th International Conference on Computing, Engineering and Design, ICCED 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "7th International Conference on Computing, Engineering and Design, ICCED 2021",
address = "United States",
}