{"title":"大数据和文本挖掘方法和技术在现代商业中的应用分析社交网络数据的流量跟踪","authors":"E. Žunić, Almir Djedovic, D. Donko","doi":"10.1109/BIHTEL.2016.7775717","DOIUrl":null,"url":null,"abstract":"Big Data is becoming one of the most important technology trends with a potential for a dramatic change in which organizations use information in order to improve the customer's experience and transform their own business models. Big Data as a concept is new in the world of technology and therefore requires research in technological or business sense. Management and analysis of large amount of network offer huge benefits and challenges for all organizations. The amount of information floating through social networks increases every day, and represents a rich source of data, if it is properly processed. The aim of this paper is to show on a concrete example the profit of the system implemented over Big Data from social networks using Text Mining methods and technologies, as well as semantic processing and clustering, storaging and possibility of later examination and treatment.","PeriodicalId":156236,"journal":{"name":"2016 XI International Symposium on Telecommunications (BIHTEL)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Application of Big Data and text mining methods and technologies in modern business analyzing social networks data about traffic tracking\",\"authors\":\"E. Žunić, Almir Djedovic, D. Donko\",\"doi\":\"10.1109/BIHTEL.2016.7775717\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Big Data is becoming one of the most important technology trends with a potential for a dramatic change in which organizations use information in order to improve the customer's experience and transform their own business models. Big Data as a concept is new in the world of technology and therefore requires research in technological or business sense. Management and analysis of large amount of network offer huge benefits and challenges for all organizations. The amount of information floating through social networks increases every day, and represents a rich source of data, if it is properly processed. The aim of this paper is to show on a concrete example the profit of the system implemented over Big Data from social networks using Text Mining methods and technologies, as well as semantic processing and clustering, storaging and possibility of later examination and treatment.\",\"PeriodicalId\":156236,\"journal\":{\"name\":\"2016 XI International Symposium on Telecommunications (BIHTEL)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 XI International Symposium on Telecommunications (BIHTEL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIHTEL.2016.7775717\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 XI International Symposium on Telecommunications (BIHTEL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIHTEL.2016.7775717","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Big Data and text mining methods and technologies in modern business analyzing social networks data about traffic tracking
Big Data is becoming one of the most important technology trends with a potential for a dramatic change in which organizations use information in order to improve the customer's experience and transform their own business models. Big Data as a concept is new in the world of technology and therefore requires research in technological or business sense. Management and analysis of large amount of network offer huge benefits and challenges for all organizations. The amount of information floating through social networks increases every day, and represents a rich source of data, if it is properly processed. The aim of this paper is to show on a concrete example the profit of the system implemented over Big Data from social networks using Text Mining methods and technologies, as well as semantic processing and clustering, storaging and possibility of later examination and treatment.