Title: People Analytics & Text Mining with R
Summary:
Content Overview:
“People Analytics & Text Mining with R” is a comprehensive guide that explores the integration of human resources (HR) analytics and text mining using the R programming language. This book provides practical insights and methodologies for analyzing large datasets, including textual data, to extract valuable insights into various HR-related phenomena. Readers will learn essential techniques such as data preprocessing, sentiment analysis, topic modeling, predictive modeling, and data visualization. Through hands-on examples and case studies, the book demonstrates how HR professionals, data analysts, and researchers can leverage data analytics to optimize workforce management, enhance employee engagement, and inform organizational decision-making.
Author:
Author: Mong Shen Ng is a data scientist and expert in HR analytics, with extensive experience in applying data-driven approaches to address HR challenges. Ng holds a master’s degree in data science and has worked with numerous organizations to develop and implement data analytics solutions for HR and workforce management. With a passion for leveraging technology to drive organizational success, Ng brings a wealth of practical knowledge and expertise to the book. His insights into HR analytics and text mining ensure that readers receive valuable guidance and actionable strategies for leveraging data analytics in the HR domain.
Publisher:
Publisher: “People Analytics & Text Mining with R” is published by Independently published