{"title":"从“什么”和“怎么”两个方面对新闻故事进行聚类:利用词包模型和亲和力传播","authors":"W. Chu, Chao-Chin Huang, Wen-Fang Cheng","doi":"10.1145/2072552.2072555","DOIUrl":null,"url":null,"abstract":"The 24-hour news TV channels repeat the same news stories again and again. In this paper we cluster hundreds of news stories broadcasted in a day into dozens of clusters according to topics, and thus facilitate efficient browsing and summarization. The proposed system automatically removes commercial breaks and detects anchorpersons, and then determines boundaries of news stories. Semantic concepts, the bag of visual word model and the bag of trajectory model are used to describe what and how objects present in news stories. After measuring similarity between stories by the earth mover's distance, the affinity propagation algorithm is utilized to cluster stories of the same topic together. The experimental results show that with the proposed methods sophisticated news stories can be effectively clustered.","PeriodicalId":280321,"journal":{"name":"Automated Information Extraction in Media Production","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"News story clustering from both what and how aspects: using bag of word model and affinity propagation\",\"authors\":\"W. Chu, Chao-Chin Huang, Wen-Fang Cheng\",\"doi\":\"10.1145/2072552.2072555\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The 24-hour news TV channels repeat the same news stories again and again. In this paper we cluster hundreds of news stories broadcasted in a day into dozens of clusters according to topics, and thus facilitate efficient browsing and summarization. The proposed system automatically removes commercial breaks and detects anchorpersons, and then determines boundaries of news stories. Semantic concepts, the bag of visual word model and the bag of trajectory model are used to describe what and how objects present in news stories. After measuring similarity between stories by the earth mover's distance, the affinity propagation algorithm is utilized to cluster stories of the same topic together. The experimental results show that with the proposed methods sophisticated news stories can be effectively clustered.\",\"PeriodicalId\":280321,\"journal\":{\"name\":\"Automated Information Extraction in Media Production\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Automated Information Extraction in Media Production\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2072552.2072555\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automated Information Extraction in Media Production","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2072552.2072555","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
News story clustering from both what and how aspects: using bag of word model and affinity propagation
The 24-hour news TV channels repeat the same news stories again and again. In this paper we cluster hundreds of news stories broadcasted in a day into dozens of clusters according to topics, and thus facilitate efficient browsing and summarization. The proposed system automatically removes commercial breaks and detects anchorpersons, and then determines boundaries of news stories. Semantic concepts, the bag of visual word model and the bag of trajectory model are used to describe what and how objects present in news stories. After measuring similarity between stories by the earth mover's distance, the affinity propagation algorithm is utilized to cluster stories of the same topic together. The experimental results show that with the proposed methods sophisticated news stories can be effectively clustered.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
