Topic Modelling and Artificial Intelligence Based Method Using Online Employee Assessments to Analyze Job Satisfaction
نویسندگان
چکیده
In this study, the performance of proposed sample selection method was evaluated on some basic classifiers by conducting a literature review use topic modelling methods considering online evaluations employees in order to determine and analyse job satisfaction factors. addition, effectiveness different representation structures is represent data sets effectively main results are obtained regarding classification ensemble field text mining. work it emphasized that machine learning can achieve high scalable with large sets. The dataset used study from www.kaggle.com. A total 67529 comments collected people working at Google, Amazon, Netflix, Facebook, Apple, Microsoft were evaluated. Within scope mining artificial intelligence-based will be developed, solution brought intelligence methods.
منابع مشابه
efl teachers job satisfaction and social capital in relation to students’ motivation
abstract this mixed method study examines whether there is any relationship among the variables of the study (job satisfaction, social capital and motivation). the researcher considered job satisfaction and social capital as independent variables; motivation is the dependent variable of the study. the researcher applied a questionnaire to assess each variable. to measure efl teachers’ job sati...
Using emotional intelligence to predict job stress: Artificial neural network and regression models
Introduction: These days, there is a consensus that emotional intelligence plays an important role in the success of individuals in different areas of life. Persons with higher emotional intelligence had lower stress in dealing with demands and pressures in the workplace. The purpose of this study was to use artificial neural network to predict job stress and to compare the performance of this ...
متن کاملJob Satisfaction Prediction based on Job Motivation and Emotional Intelligence of Managers and Employees
Abstract Purpose: The aim of this study was to predict the job satisfaction in managers and staff of the university units in District 5. Methodology: Among the statistical population of the study, 130 people (55 females and 75 males) were selected by cluster sampling method. Data were collected using job satisfaction, emotional intelligence of Schutt, and job motivation questionnaires. Find...
متن کاملStrategic Collaborative Quality Management and Employee Job Satisfaction
Background This study aimed to examine Strategic Collaborative Quality Management (SCQM) impact on employee job satisfaction. Methods The study presents a case study over six years following the implementation of the SCQM programme in a public hospital. A validated questionnaire was used to measure employees’ job satisfaction. The impact of the intervention was measured by comparing the pre-i...
متن کاملOnline, Artificial Intelligence-Based Turbine Generator Diagnostics
The development of an online turbine generator diagnostic system is described from conception to initial field verification. The system is composed of a data center located in the power plant that collects data from online measurement devices and communicates these data to a centralized diagnostic facility in Orlando, Florida, where the actual diagnosis is done. The resulting diagnosis and reco...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Turkish journal of forecasting
سال: 2022
ISSN: ['2618-6594']
DOI: https://doi.org/10.34110/forecasting.1173063