Sentimen Analisis Terhadap Aplikasi pada Google Playstore Menggunakan Algoritma Naïve Bayes dan Algoritma Genetika

Arif Rahman, Ema Utami, S. Sudarmawan
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引用次数: 1

Abstract

Sentiment analysis is a science to extract text to get someone's emotions for that. The benefits of sentiment analysis have many benefits, one of which is to see whether or not customers have a good response to the product and this can be an input for the development of the product's business in the future. The weakness of previous studies in research sentiment analysis is that the authors conduct research to improve the results of previous studies using the naïve Bayes algorithm that is optimized with a genetic algorithm. From the results of the research that has been done, the average value in this study is on average better than previous studies, no applications have been identified as underfitting or overfitting and finally the naïve Bayes algorithm that has been optimized by the genetic algorithm can be a classification solution for sentiment analysis.
情感分析是一门提取文本以获取某人情感的科学。情感分析的好处有很多,其中之一就是可以看到客户对产品的反应是否良好,这可以作为未来产品业务发展的一种投入。以往研究情感分析的不足之处在于,作者利用遗传算法优化后的naïve贝叶斯算法对以往研究结果进行改进研究。从已经完成的研究结果来看,本研究的平均值平均优于以往的研究,没有发现过拟合或欠拟合的应用,最终通过遗传算法优化的naïve贝叶斯算法可以作为情感分析的分类解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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