{"title":"社会网络观察站:一个实体驱动的、跨资源的整体信息总结平台","authors":"Leonidas Tsekouras, G. Petasis, Aris Kosmopoulos","doi":"10.26615/978-954-452-058-8_007","DOIUrl":null,"url":null,"abstract":"The Social Web Observatory is an entity-driven, sentiment-aware, event summarization web platform, combining various methods and tools to overview trends across social media and news sources in Greek. SWO crawls, clusters and summarizes information following an entity-centric view of text streams, allowing to monitor the public sentiment towards a specific person, organization or other entity. In this paper, we overview the platform, outline the analysis pipeline and describe a user study aimed to quantify the usefulness of the system and especially the meaningfulness and coherence of discovered events.","PeriodicalId":182255,"journal":{"name":"Proceedings of the Workshop MultiLing 2019: Summarization Across Languages, Genres and Sources associated with RANLP 2019","volume":"291 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Social Web Observatory: An entity-driven, holistic information summarization platform across sources\",\"authors\":\"Leonidas Tsekouras, G. Petasis, Aris Kosmopoulos\",\"doi\":\"10.26615/978-954-452-058-8_007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Social Web Observatory is an entity-driven, sentiment-aware, event summarization web platform, combining various methods and tools to overview trends across social media and news sources in Greek. SWO crawls, clusters and summarizes information following an entity-centric view of text streams, allowing to monitor the public sentiment towards a specific person, organization or other entity. In this paper, we overview the platform, outline the analysis pipeline and describe a user study aimed to quantify the usefulness of the system and especially the meaningfulness and coherence of discovered events.\",\"PeriodicalId\":182255,\"journal\":{\"name\":\"Proceedings of the Workshop MultiLing 2019: Summarization Across Languages, Genres and Sources associated with RANLP 2019\",\"volume\":\"291 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Workshop MultiLing 2019: Summarization Across Languages, Genres and Sources associated with RANLP 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26615/978-954-452-058-8_007\",\"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 Workshop MultiLing 2019: Summarization Across Languages, Genres and Sources associated with RANLP 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26615/978-954-452-058-8_007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Social Web Observatory: An entity-driven, holistic information summarization platform across sources
The Social Web Observatory is an entity-driven, sentiment-aware, event summarization web platform, combining various methods and tools to overview trends across social media and news sources in Greek. SWO crawls, clusters and summarizes information following an entity-centric view of text streams, allowing to monitor the public sentiment towards a specific person, organization or other entity. In this paper, we overview the platform, outline the analysis pipeline and describe a user study aimed to quantify the usefulness of the system and especially the meaningfulness and coherence of discovered events.
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