{"title":"一种从Web上发现多语言新闻事件和术语关联的方法","authors":"Hang Chen, Ronghao Wei","doi":"10.1109/ICSSEM.2011.6081195","DOIUrl":null,"url":null,"abstract":"We have investigated an approach for automatically discovering news events from Web online news downloaded from different sites of different languages. The story content is analyzed. Unsupervised learning is conducted to discover events. From the comparable news stories in the events, statistical analysis of term co-occurrence is developed for mining bilingual term associations. We have conducted some experiments to evaluate our approach on discovering events and term associations. According to the result of the experiment, the approach is a effective way for the discovering Multilingual news events and term association from the web.","PeriodicalId":406311,"journal":{"name":"2011 International Conference on System science, Engineering design and Manufacturing informatization","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An approach for discovering Multilingual news events and term association from the Web\",\"authors\":\"Hang Chen, Ronghao Wei\",\"doi\":\"10.1109/ICSSEM.2011.6081195\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We have investigated an approach for automatically discovering news events from Web online news downloaded from different sites of different languages. The story content is analyzed. Unsupervised learning is conducted to discover events. From the comparable news stories in the events, statistical analysis of term co-occurrence is developed for mining bilingual term associations. We have conducted some experiments to evaluate our approach on discovering events and term associations. According to the result of the experiment, the approach is a effective way for the discovering Multilingual news events and term association from the web.\",\"PeriodicalId\":406311,\"journal\":{\"name\":\"2011 International Conference on System science, Engineering design and Manufacturing informatization\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on System science, Engineering design and Manufacturing informatization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSEM.2011.6081195\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on System science, Engineering design and Manufacturing informatization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSEM.2011.6081195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An approach for discovering Multilingual news events and term association from the Web
We have investigated an approach for automatically discovering news events from Web online news downloaded from different sites of different languages. The story content is analyzed. Unsupervised learning is conducted to discover events. From the comparable news stories in the events, statistical analysis of term co-occurrence is developed for mining bilingual term associations. We have conducted some experiments to evaluate our approach on discovering events and term associations. According to the result of the experiment, the approach is a effective way for the discovering Multilingual news events and term association from the web.
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