{"title":"从上市公司年报中提取典型领域关键词","authors":"Zhaohui Chao, Lin Li","doi":"10.1109/MIPR.2018.00047","DOIUrl":null,"url":null,"abstract":"Keywords usually serve as indicators of important information contained in documents. In the financial analysis work, annual report is an essential basis for auditors to obtain financial information about the company. In this paper, we propose a novel system that recognizes typical domain keywords automatically by analyzing annual reports. In addition, the system could customize search keywords, recommend domain words. Auditors would work effectively with the help of the system.","PeriodicalId":320000,"journal":{"name":"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)","volume":"28 Pt 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extracting Typical Domain Keywords from Annual Reports of Listed Company\",\"authors\":\"Zhaohui Chao, Lin Li\",\"doi\":\"10.1109/MIPR.2018.00047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Keywords usually serve as indicators of important information contained in documents. In the financial analysis work, annual report is an essential basis for auditors to obtain financial information about the company. In this paper, we propose a novel system that recognizes typical domain keywords automatically by analyzing annual reports. In addition, the system could customize search keywords, recommend domain words. Auditors would work effectively with the help of the system.\",\"PeriodicalId\":320000,\"journal\":{\"name\":\"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)\",\"volume\":\"28 Pt 6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MIPR.2018.00047\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MIPR.2018.00047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Extracting Typical Domain Keywords from Annual Reports of Listed Company
Keywords usually serve as indicators of important information contained in documents. In the financial analysis work, annual report is an essential basis for auditors to obtain financial information about the company. In this paper, we propose a novel system that recognizes typical domain keywords automatically by analyzing annual reports. In addition, the system could customize search keywords, recommend domain words. Auditors would work effectively with the help of the system.