{"title":"一种基于句法分析的关系情感属性提取改进方法","authors":"Jun Wang, Lei Li, F. Ren","doi":"10.1109/CCIS.2011.6045109","DOIUrl":null,"url":null,"abstract":"Social network plays an important role in this network age. With development of social network, people hope more attribute and more precise description about relation which is the key element of network. This paper proposes an improved method of extracting emotional attribute of relations from Chinese events based on syntactical analysis. In our work, we improved the defect of previous method that can not deal with multiple entities in one sentence. In addition, a large-scale Chinese emotional dictionary not only emotional verbs was used in the extraction of emotional attribute. Experiment showed our method achieved satisfied performance.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An improved method of extracting emotional attribute of relations based on syntactical analysis\",\"authors\":\"Jun Wang, Lei Li, F. Ren\",\"doi\":\"10.1109/CCIS.2011.6045109\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Social network plays an important role in this network age. With development of social network, people hope more attribute and more precise description about relation which is the key element of network. This paper proposes an improved method of extracting emotional attribute of relations from Chinese events based on syntactical analysis. In our work, we improved the defect of previous method that can not deal with multiple entities in one sentence. In addition, a large-scale Chinese emotional dictionary not only emotional verbs was used in the extraction of emotional attribute. Experiment showed our method achieved satisfied performance.\",\"PeriodicalId\":128504,\"journal\":{\"name\":\"2011 IEEE International Conference on Cloud Computing and Intelligence Systems\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Cloud Computing and Intelligence Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCIS.2011.6045109\",\"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 IEEE International Conference on Cloud Computing and Intelligence Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIS.2011.6045109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An improved method of extracting emotional attribute of relations based on syntactical analysis
Social network plays an important role in this network age. With development of social network, people hope more attribute and more precise description about relation which is the key element of network. This paper proposes an improved method of extracting emotional attribute of relations from Chinese events based on syntactical analysis. In our work, we improved the defect of previous method that can not deal with multiple entities in one sentence. In addition, a large-scale Chinese emotional dictionary not only emotional verbs was used in the extraction of emotional attribute. Experiment showed our method achieved satisfied performance.