S. Sunarti, Irawan Dwi Wahyono, Hari Putranto, Djoko Saryono, Herri Akhmad Bukhori, Tiksno Widyatmoko, Mohd Shafie Rosli, Nurbiha A. Shukor, Noor Dayana Abdul Halim
There are many Chinese movies on the internet for learning Chinese, one of which is on YouTube. This educational film provides negative and positive comments. To get a good movie to learn Chinese, we need to classify positive and negative comments ratings for Chinese learning that teachers can use in this video. In addition, a review of comments is an evolution of Chinese film ratings. The evaluation of comments included includes storytelling, content, model, visual effects, and more. The review has criticisms and comments that include feelings about the movie on Chinese language learning. Commentator helps movie students compare a movie's mood with positive or negative emotion groups. This research uses the naive Bayes taxonomy with the Lexicon Based function in sentiment analysis of comments. The classification process considers the appearance of words of emotional content in the score and the possible score values for positive or negative emotional classes. Based on test results, feature selection accuracy, precision, and recall in the form of stop word exclusion receive scores of 0.91, 0.87, and 0.98, respectively. © 2022 IEEE.
Universitas Negeri Malang, Department of German, Malang, Indonesia; Universitas Negeri Malang, Department of Engineering, Malang, Indonesia; Department of Indonesian, Universitas Negeri Malang, Malang, Indonesia; Universiti Teknologi, Department of Education, Malaysia
