{"title":"社交媒体的互动总结","authors":"Wen Li, Carsten Eickhoff, A. D. Vries","doi":"10.1145/2637002.2637050","DOIUrl":null,"url":null,"abstract":"Data visualization and exploration tools are crucial for data scientists, especially during a pilot study. In this paper, we present an extensible open-source workbench for aggregating, summarizing and filtering social network profiles derived from tweets. We briefly demonstrate its range of basic features for two use cases: geo-spatial profile summarization based on check-in histories and social media based complaint discovery in water management.","PeriodicalId":447867,"journal":{"name":"Proceedings of the 5th Information Interaction in Context Symposium","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Interactive summarization of social media\",\"authors\":\"Wen Li, Carsten Eickhoff, A. D. Vries\",\"doi\":\"10.1145/2637002.2637050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data visualization and exploration tools are crucial for data scientists, especially during a pilot study. In this paper, we present an extensible open-source workbench for aggregating, summarizing and filtering social network profiles derived from tweets. We briefly demonstrate its range of basic features for two use cases: geo-spatial profile summarization based on check-in histories and social media based complaint discovery in water management.\",\"PeriodicalId\":447867,\"journal\":{\"name\":\"Proceedings of the 5th Information Interaction in Context Symposium\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 5th Information Interaction in Context Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2637002.2637050\",\"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 5th Information Interaction in Context Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2637002.2637050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data visualization and exploration tools are crucial for data scientists, especially during a pilot study. In this paper, we present an extensible open-source workbench for aggregating, summarizing and filtering social network profiles derived from tweets. We briefly demonstrate its range of basic features for two use cases: geo-spatial profile summarization based on check-in histories and social media based complaint discovery in water management.
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