SENTIMENT ANALYSIS ON CLOSURE OF ILLEGAL MOVIE STREAMING SITES USING NAÏVE BAYES ALGORITHM
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Penelitian yang dilakukan oleh dua orang mahasiswa ITB, Ismail Sunni dan Dwi Hendratmo Widyanto (Sunni & Widyantoro, 2012) dalam journal mereka mengenai Analisis Sentimen
In the data from network visualization viewers, it shows that the field of research studies on bullying in early childhood that have been produced, including how early
Figure 9 and Figure 10 are visualizations of words that appear most often in tweets classified as negative sentiment by using the algorithm in the VADER library.. In the
The process carried out in this study is to process all data which obtained from Twitter social media and then classify it using the Multinomial Naïve Bayes, Gaussian Naïve Bayes, and
There have been many studies using the concept of AI in digital architecture; for example, research to obtain certainty in identifying types of writing and images
Data retrieval of power failure tweets from Twitter in this study was carried out using the web scraping method.. Scraping data on Twitter is done using libraries available
The novelty of the study is the sentiment analysis using Naive Bayes with Lexicon-Based feature was performed on TikTok user reviews on Google Play Store unlike the previous
CFW sangatlah menjadi sebuah fenomena pada pertengahan tahun 2022, tetapi banyak sekali masyarakat memiliki pandangan yang berbeda, ada yang menyikapinya dengan
