{"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}
引用次数: 1
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.