{"title":"如何找到政客在推特上使用的相关词汇?","authors":"L. S. Oliveira, Pedro O. S. Vaz de Melo","doi":"10.1145/3126858.3131590","DOIUrl":null,"url":null,"abstract":"The dynamics of society are constantly changing by social media. Twitter has been standing out as one of the main platforms for infor- mation discovery and its political use have been growing since 2008. In this work we collected the public deputies tweets between 2013 and 2015 for topic extraction by means of computational models. However, due to the large number of irrelevant words from the data dictionary, we used tf-idf and Shannon's entropy to identify and select relevant political words.","PeriodicalId":338362,"journal":{"name":"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"How to Find the Relevant Words Politicians Use in Twitter?\",\"authors\":\"L. S. Oliveira, Pedro O. S. Vaz de Melo\",\"doi\":\"10.1145/3126858.3131590\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The dynamics of society are constantly changing by social media. Twitter has been standing out as one of the main platforms for infor- mation discovery and its political use have been growing since 2008. In this work we collected the public deputies tweets between 2013 and 2015 for topic extraction by means of computational models. However, due to the large number of irrelevant words from the data dictionary, we used tf-idf and Shannon's entropy to identify and select relevant political words.\",\"PeriodicalId\":338362,\"journal\":{\"name\":\"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3126858.3131590\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3126858.3131590","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
How to Find the Relevant Words Politicians Use in Twitter?
The dynamics of society are constantly changing by social media. Twitter has been standing out as one of the main platforms for infor- mation discovery and its political use have been growing since 2008. In this work we collected the public deputies tweets between 2013 and 2015 for topic extraction by means of computational models. However, due to the large number of irrelevant words from the data dictionary, we used tf-idf and Shannon's entropy to identify and select relevant political words.
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