利用电子邮件分析双边沟通,应用大数据和简单线性回归

Luz María Hernández-Cruz, Diana Concepción Mex-Álvarez, Guadalupe Manuel Estrada-Segovia, M. Castillo-Téllez
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引用次数: 0

摘要

目前,电子邮件是最常用的网络服务,作为发送和接收信息和文件的通信手段。本研究的目的是通过应用确保员工之间存在双边沟通的战略,对机构电子邮件进行分析。该研究是应用类型,这将允许预测自信的工作小组与繁荣和富有成效的劳动关系。该研究整合了一种名为“浸入”的技术大数据工具的应用,并使用微软Office Excel对简单线性回归(PLS)模型进行了分析。改编后的方法论由三个阶段组成:首先是“数据收集”,从一个机构的电子邮件账户中收集大量数据(个人数据)进行案例研究,然后是“分析”,构建一个简单的线性回归模型来分析收集到的数据之间的关系,最后是“解释”,对获得的结果进行解释。有重要的应用,如学术团体、专题网络、学科委员会或项目合作成员的整合。
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Uso de correo electrónico para analizar la comunicación bilateral aplicando Big Data y Regresión Lineal Simple
Currently, the email is the most used network service as a means of communication for sending and receiving messages and files. The objective of this study is to perform an analysis of institutional emails by applying a strategic that ensures the existence of a bilateral communication between the employees. The research is of applied type, which will allow to predict assertive working groups with prosperous and productive labor relations. The study integrates the application of a Technological Big Data tool called Immersion and the analysis of a Simple Linear Regression (PLS) model using Microsoft Office Excel. The adapted methodology is composed of three phases: first, the "Data Collection" where a large volume of data is collected (personal data) from an institutional email account for the case study, then we have the "Analysis" where a simple linear regression model is constructed to analyze the relationship between the collected data and finally, the "Interpretation" where the obtained results are explained. Having important applications such as the integration of academic group, thematic networks, disciplinary committees or collaborative members in projects.
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