Text mining to analyze employee feedback on work environment

Rawan Shabbar; Sreenath Chalil Madathil; Srikanth Poranki; Mohammad T. Khasawneh

Text mining to analyze employee feedback on work environment

Rawan Shabbar
, Sreenath Chalil Madathil
, Srikanth Poranki
, Mohammad T. Khasawneh

School of Sys Sci Ind Engr

Binghamton University

State University of New York Binghamton University
United Health Services Hospital Binghamton

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Text mining is a method that enables automatic information extraction from text data. Several applications such as national security, human resources department, customer relationship management, and academics uses text mining to gain insights in text-based data. This study analyzes survey results of 2,210 employees’ feedback in a health-care organization. The survey contains six questions to reflect employees’ feedback on the organization’s working environment. Several text mining techniques used in this study help us understand current challenges in workplace and provide potential ways for improvement. The feedback includes insights regarding human resources and management teams in the organization.

Original language	English
Title of host publication	IISE Annual Conference and Expo 2019
Publisher	Institute of Industrial and Systems Engineers, IISE
ISBN (Electronic)	9781713814092
State	Published - 2019
Event	2019 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2019 - Orlando, United States Duration: May 18 2019 → May 21 2019

Publication series

Name	IISE Annual Conference and Expo 2019

Conference

Conference	2019 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2019
Country/Territory	United States
City	Orlando
Period	05/18/19 → 05/21/19

Keywords

Employee Feedback
Human Resources
Sentiment Analysis
Text Mining

Cite this

@inproceedings{4c6c866d63b045a6b9f39501c30b0b05,

title = "Text mining to analyze employee feedback on work environment",

abstract = "Text mining is a method that enables automatic information extraction from text data. Several applications such as national security, human resources department, customer relationship management, and academics uses text mining to gain insights in text-based data. This study analyzes survey results of 2,210 employees{\textquoteright} feedback in a health-care organization. The survey contains six questions to reflect employees{\textquoteright} feedback on the organization{\textquoteright}s working environment. Several text mining techniques used in this study help us understand current challenges in workplace and provide potential ways for improvement. The feedback includes insights regarding human resources and management teams in the organization.",

keywords = "Employee Feedback, Human Resources, Sentiment Analysis, Text Mining",

author = "Rawan Shabbar and Madathil, \{Sreenath Chalil\} and Srikanth Poranki and Khasawneh, \{Mohammad T.\}",

note = "Publisher Copyright: {\textcopyright} 2019 IISE Annual Conference and Expo 2019. All rights reserved.; 2019 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2019 ; Conference date: 18-05-2019 Through 21-05-2019",

year = "2019",

language = "English",

series = "IISE Annual Conference and Expo 2019",

publisher = "Institute of Industrial and Systems Engineers, IISE",

booktitle = "IISE Annual Conference and Expo 2019",

}

Shabbar, R, Madathil, SC, Poranki, S & Khasawneh, MT 2019, Text mining to analyze employee feedback on work environment. in IISE Annual Conference and Expo 2019., 967685, IISE Annual Conference and Expo 2019, Institute of Industrial and Systems Engineers, IISE, 2019 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2019, Orlando, United States, 05/18/19.

Text mining to analyze employee feedback on work environment. / Shabbar, Rawan; Madathil, Sreenath Chalil; Poranki, Srikanth et al.
IISE Annual Conference and Expo 2019. Institute of Industrial and Systems Engineers, IISE, 2019. 967685 (IISE Annual Conference and Expo 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Text mining to analyze employee feedback on work environment

AU - Shabbar, Rawan

AU - Madathil, Sreenath Chalil

AU - Poranki, Srikanth

AU - Khasawneh, Mohammad T.

PY - 2019

Y1 - 2019

N2 - Text mining is a method that enables automatic information extraction from text data. Several applications such as national security, human resources department, customer relationship management, and academics uses text mining to gain insights in text-based data. This study analyzes survey results of 2,210 employees’ feedback in a health-care organization. The survey contains six questions to reflect employees’ feedback on the organization’s working environment. Several text mining techniques used in this study help us understand current challenges in workplace and provide potential ways for improvement. The feedback includes insights regarding human resources and management teams in the organization.

AB - Text mining is a method that enables automatic information extraction from text data. Several applications such as national security, human resources department, customer relationship management, and academics uses text mining to gain insights in text-based data. This study analyzes survey results of 2,210 employees’ feedback in a health-care organization. The survey contains six questions to reflect employees’ feedback on the organization’s working environment. Several text mining techniques used in this study help us understand current challenges in workplace and provide potential ways for improvement. The feedback includes insights regarding human resources and management teams in the organization.

KW - Employee Feedback

KW - Human Resources

KW - Sentiment Analysis

KW - Text Mining

UR - https://www.scopus.com/pages/publications/85095414513

M3 - Conference contribution

T3 - IISE Annual Conference and Expo 2019

BT - IISE Annual Conference and Expo 2019

PB - Institute of Industrial and Systems Engineers, IISE

T2 - 2019 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2019

Y2 - 18 May 2019 through 21 May 2019

ER -

Text mining to analyze employee feedback on work environment

Abstract

Publication series

Conference

Keywords

Other files and links

Fingerprint

Cite this