从上市公司年报中提取典型领域关键词

Zhaohui Chao, Lin Li
{"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}
引用次数: 0

摘要

关键词通常是文档中所包含的重要信息的指示器。在财务分析工作中,年报是审计人员获取公司财务信息的重要依据。本文提出了一种基于年报分析的典型领域关键词自动识别系统。此外,系统还可以自定义搜索关键词,推荐领域关键词。审计人员将在系统的帮助下有效地工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信