{"title":"基于朴素贝叶斯分类器的Twitter Indosat服务情感分析","authors":"Febri Astiko, Achmad Khodar","doi":"10.52158/JACOST.V1I2.79","DOIUrl":null,"url":null,"abstract":"This study aims to design a machine learning model of sentiment analysis on Indosat Ooredoo service reviews on social media twitter using the Naive Bayes algorithm as a classifier of positive and negative labels. This sentiment analysis uses machine learning to get patterns an model that can be used again to predict new data.","PeriodicalId":151855,"journal":{"name":"Journal of Applied Computer Science and Technology","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Sentiment Analysis Reviewing Indosat Services from Twitter Using the Naive Bayes Classifier\",\"authors\":\"Febri Astiko, Achmad Khodar\",\"doi\":\"10.52158/JACOST.V1I2.79\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to design a machine learning model of sentiment analysis on Indosat Ooredoo service reviews on social media twitter using the Naive Bayes algorithm as a classifier of positive and negative labels. This sentiment analysis uses machine learning to get patterns an model that can be used again to predict new data.\",\"PeriodicalId\":151855,\"journal\":{\"name\":\"Journal of Applied Computer Science and Technology\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Applied Computer Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52158/JACOST.V1I2.79\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Computer Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52158/JACOST.V1I2.79","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Sentiment Analysis Reviewing Indosat Services from Twitter Using the Naive Bayes Classifier
This study aims to design a machine learning model of sentiment analysis on Indosat Ooredoo service reviews on social media twitter using the Naive Bayes algorithm as a classifier of positive and negative labels. This sentiment analysis uses machine learning to get patterns an model that can be used again to predict new data.