Natural Language Processing for Data Science Workforce Analysis
M. PremaVice Principal, Sri Ramachandra Faculty of Engineering and Technology, Sri Ramachandra Institute of Higher Education and Research, Chennai, India. m.prema@sriramachandra.edu.in0000-0001-8970-6533
Dr.V. RajuProvost, Sri Ramachandra Faculty of Engineering and Technology, Sri Ramachandra Institute of Higher Education and Research, Chennai, India. provost@sret.edu.in0000-0001-8456-6615
M. RamyaLecturer, Sri Ramachandra Faculty of Engineering and Technology, Sri Ramachandra Institute of Higher Education and Research, Chennai, India. ramya@sret.edu.in0000-0003-3084-3490
Keywords: Natural Language Processing, Topic Analysis, Sentiment Analysis, Web Scrapping, Beautiful Soup, Selenium, and Data Cleaning.
Abstract
As the demand for people with Data Science and Data Analysis skills are rising at a very high rate, periodic exploration of the skill sets for jobs in these fields have become essential. This research presents the use of Natural Language Processing for Human Resource Management. It presents the application of such techniques and tools as Python Libraries with Beautiful Soup and Selenium, Web Scrapping, Topic Analysis, Sentiment Analysis, and Natural Language Processing in the identification of skill sets related to Data Scientist, Data Analyst and Data Engineer.