Sentiment Analysis Review Of Smartphones With Artificial Intelligent Camera Technology Using Naive Bayes and n-gram Character Selection

• Published in: Journal of physics. Conference series 2020-11, Vol.1641 (1), p.12076
• Main Authors: Aulianita, R, Utami, LA, Musyaffa, N, Wijaya, G, Mukhayaroh, A, Yoraeni, A
• Format: Article
• Language: English
• Subjects: Accuracy; Algorithms; Cameras; Classification; Data mining; Data processing; Physics; Product reviews; Sentiment analysis; Smartphones
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/1641/1/012076

Mobile has become a basic necessity at this time. Everyone certainly has a cellphone according to their daily needs. To capture connections and carry out various activities with just one hand. The object of this research is a review of smartphones that have the best artificial intelligent cameras. Data processing methods used in research using the Naïve Bayes algorithm. Naïve Bayes is known as one of the methods with the best classification accuracy results for text mining. The research objective is to facilitate customers who will buy a smartphone with the best AI camera without having to read product reviews. So that it can see based on the classification of positive text and label negative text classification. In this study, n-gram is used as a character selector to provide better accuracy results. Based on the results of research conducted, the accuracy of Naïve Bayes results is 72.00%, then Naïve Bayes with n-gram selection accuracy is N-gram = 2, 72.00% accuracy results, n-gram = 3, 75.00% accuracy results, and n-gram = 4 accuracy results 74.50%. In this study, carried out 10 times the experiment to measure the increased accuracy of the addition of n grams. Thus concluding that the application of the n-gram character can increase the accuracy of the Naïve Bayes algorithm.