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

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

• By Rizki Aulianita;
• Jurnal Internasional Bereputasi
• 334
• 1-6

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 articial intelligent cameras. Data processing methods used in research using the Nave

Bayes algorithm. Nave Bayes is known as one of the methods with the best classication

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 classication of positive text and label negative text classication. 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 Nave Bayes results is 72.00%, then Nave

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 Nave

Bayes algorithm.

• Katakunci text mining, naive bayes, ai camera technology
• URL https://iopscience.iop.org/article/10.1088/1742-6596/1641/1/012076/pdf
• Penerbit JST (Jurnal Sains dan Teknologi,

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