Muhammad Farras, Viny Christanti Mawardi, T. Sutrisno
{"title":"Aplikasi Analisis Sentimen Komentar Pengguna Genshin Impact Di Play Store","authors":"Muhammad Farras, Viny Christanti Mawardi, T. Sutrisno","doi":"10.24912/jiksi.v11i2.26029","DOIUrl":null,"url":null,"abstract":"Google Play functions as the official app store for the Android operating system, allowing users to browse and discover applications developed with the Android software development kit (SDK) and published through Google. Google Play also serves as a digital media store, offering music programs, books, movies, and television shows. It previously offered Google hardware for purchase until it introduced a separate online hardware store, Google Store, on March 11, 2015.The research will utilize a web-based application development tool that uses Flask and JavaScript as the application interface, and the Pandas library from Python for data manipulation. Naïve Bayes will be employed as the methodology for analyzing sentiments based on words, and K-Fold Cross Validation will be used to strengthen the accuracy of the analysis results.Sentiment analysis typically classifies opinions into three categories: positive and negative. However, applications that can perform the process of creating training and testing sets from consumer opinion data, simultaneously analyzing consumer sentiment and dynamically measuring the accuracy of the analysis results, are still scarce. This study aims to develop an application capable of analyzing consumer sentiment with the mentioned functionalities, wherein Naive Bayes is used as the classification method.","PeriodicalId":34309,"journal":{"name":"Jurnal Sisfokom","volume":"34 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Sisfokom","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24912/jiksi.v11i2.26029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
Google Play是Android操作系统的官方应用商店,允许用户浏览和发现使用Android SDK (software development kit)开发并通过Google发布的应用。Google Play也是一个数字媒体商店,提供音乐节目、书籍、电影和电视节目。在2015年3月11日推出单独的在线硬件商店Google store之前,它曾提供谷歌硬件供购买。该研究将利用基于web的应用程序开发工具,该工具使用Flask和JavaScript作为应用程序接口,并使用Python的Pandas库进行数据操作。Naïve将使用贝叶斯作为基于单词的情感分析方法,并使用K-Fold交叉验证来加强分析结果的准确性。情感分析通常将观点分为三类:积极的和消极的。然而,能够执行从消费者意见数据创建训练和测试集的过程,同时分析消费者情绪并动态测量分析结果准确性的应用程序仍然很少。本研究旨在开发一个能够分析消费者情绪的应用程序,其中使用朴素贝叶斯作为分类方法。
Aplikasi Analisis Sentimen Komentar Pengguna Genshin Impact Di Play Store
Google Play functions as the official app store for the Android operating system, allowing users to browse and discover applications developed with the Android software development kit (SDK) and published through Google. Google Play also serves as a digital media store, offering music programs, books, movies, and television shows. It previously offered Google hardware for purchase until it introduced a separate online hardware store, Google Store, on March 11, 2015.The research will utilize a web-based application development tool that uses Flask and JavaScript as the application interface, and the Pandas library from Python for data manipulation. Naïve Bayes will be employed as the methodology for analyzing sentiments based on words, and K-Fold Cross Validation will be used to strengthen the accuracy of the analysis results.Sentiment analysis typically classifies opinions into three categories: positive and negative. However, applications that can perform the process of creating training and testing sets from consumer opinion data, simultaneously analyzing consumer sentiment and dynamically measuring the accuracy of the analysis results, are still scarce. This study aims to develop an application capable of analyzing consumer sentiment with the mentioned functionalities, wherein Naive Bayes is used as the classification method.