{"title":"足球新闻的推特话题建模","authors":"A. Hidayatullah, Elang Cergas Pembrani, Wisnu Kurniawan, Gilang Akbar, Ridwan Pranata","doi":"10.1109/CCOMS.2018.8463231","DOIUrl":null,"url":null,"abstract":"Along with the development of social media today, Twitter has become the one of the social media that is used as a provider of current information about football. Football is the most popular sport in Indonesia. People always curious about some football news update, such as match prediction, match results, transfer, rumors, etc. In this paper, we apply topic modeling to determine the topic of the tweets about football news in Bahasa Indonesia. The data used in this study were taken from several official Indonesian Twitter accounts that always update about the football and we have selected before. Latent Dirichlet Allocation (LDA) was used as the topic modeling method to determine what kind of topics on Twitter. According to the content analysis, we obtained several insightful topics such as pre-match analysis, live match update, football club achievements, etc. Generally, the topics posted by the Twitter account of football news provider give information about football competition in some countries such as Indonesia, England, Spain, Italia, and Germany.","PeriodicalId":405664,"journal":{"name":"2018 3rd International Conference on Computer and Communication Systems (ICCCS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Twitter Topic Modeling on Football News\",\"authors\":\"A. Hidayatullah, Elang Cergas Pembrani, Wisnu Kurniawan, Gilang Akbar, Ridwan Pranata\",\"doi\":\"10.1109/CCOMS.2018.8463231\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Along with the development of social media today, Twitter has become the one of the social media that is used as a provider of current information about football. Football is the most popular sport in Indonesia. People always curious about some football news update, such as match prediction, match results, transfer, rumors, etc. In this paper, we apply topic modeling to determine the topic of the tweets about football news in Bahasa Indonesia. The data used in this study were taken from several official Indonesian Twitter accounts that always update about the football and we have selected before. Latent Dirichlet Allocation (LDA) was used as the topic modeling method to determine what kind of topics on Twitter. According to the content analysis, we obtained several insightful topics such as pre-match analysis, live match update, football club achievements, etc. Generally, the topics posted by the Twitter account of football news provider give information about football competition in some countries such as Indonesia, England, Spain, Italia, and Germany.\",\"PeriodicalId\":405664,\"journal\":{\"name\":\"2018 3rd International Conference on Computer and Communication Systems (ICCCS)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 3rd International Conference on Computer and Communication Systems (ICCCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCOMS.2018.8463231\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 3rd International Conference on Computer and Communication Systems (ICCCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCOMS.2018.8463231","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Along with the development of social media today, Twitter has become the one of the social media that is used as a provider of current information about football. Football is the most popular sport in Indonesia. People always curious about some football news update, such as match prediction, match results, transfer, rumors, etc. In this paper, we apply topic modeling to determine the topic of the tweets about football news in Bahasa Indonesia. The data used in this study were taken from several official Indonesian Twitter accounts that always update about the football and we have selected before. Latent Dirichlet Allocation (LDA) was used as the topic modeling method to determine what kind of topics on Twitter. According to the content analysis, we obtained several insightful topics such as pre-match analysis, live match update, football club achievements, etc. Generally, the topics posted by the Twitter account of football news provider give information about football competition in some countries such as Indonesia, England, Spain, Italia, and Germany.
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