{"title":"文档分析和分类:机器人过程自动化(RPA)和机器学习方法","authors":"A. Baidya","doi":"10.1109/ICICT52872.2021.00013","DOIUrl":null,"url":null,"abstract":"Robotic Process Automation (RPA) uses software robots to emulate human tasks within an organization to execute a business process. Because of these benefits RPA is frequently and regularly used to perform repeated tasks, tasks that have a greater influence on the organization. In this paper I have proposed solutions to overcome the challenges associated with unstructured data, using machine learning models for processing formal documents and by incorporating deep learning algorithms as an analytical approach.","PeriodicalId":359456,"journal":{"name":"2021 4th International Conference on Information and Computer Technologies (ICICT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Document Analysis and Classification: A Robotic Process Automation (RPA) and Machine Learning Approach\",\"authors\":\"A. Baidya\",\"doi\":\"10.1109/ICICT52872.2021.00013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Robotic Process Automation (RPA) uses software robots to emulate human tasks within an organization to execute a business process. Because of these benefits RPA is frequently and regularly used to perform repeated tasks, tasks that have a greater influence on the organization. In this paper I have proposed solutions to overcome the challenges associated with unstructured data, using machine learning models for processing formal documents and by incorporating deep learning algorithms as an analytical approach.\",\"PeriodicalId\":359456,\"journal\":{\"name\":\"2021 4th International Conference on Information and Computer Technologies (ICICT)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 4th International Conference on Information and Computer Technologies (ICICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICT52872.2021.00013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 4th International Conference on Information and Computer Technologies (ICICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICT52872.2021.00013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
摘要
机器人流程自动化(Robotic Process Automation, RPA)使用软件机器人来模拟组织内的人工任务,以执行业务流程。由于这些好处,RPA经常被用于执行重复的任务,这些任务对组织有更大的影响。在本文中,我提出了克服与非结构化数据相关的挑战的解决方案,使用机器学习模型处理正式文档,并将深度学习算法作为分析方法。
Document Analysis and Classification: A Robotic Process Automation (RPA) and Machine Learning Approach
Robotic Process Automation (RPA) uses software robots to emulate human tasks within an organization to execute a business process. Because of these benefits RPA is frequently and regularly used to perform repeated tasks, tasks that have a greater influence on the organization. In this paper I have proposed solutions to overcome the challenges associated with unstructured data, using machine learning models for processing formal documents and by incorporating deep learning algorithms as an analytical approach.