Data Science and Intelligent Computing Techniques
An Employee Feedback Model Based on Sentimental Analysis and Word Clouds
Authors: Janhvi Juyal, Sonakshi Vij and Deepali Virmani
Publishing Date: 12-01-2023
ISBN: 978-81-955020-2-8
Abstract
Employee feedback is significant for any organization to perceive what’s going on in the minds of every employee. It increases the engagement, efficiency, and productivity of employees and makes them feel valued. Both positive and negative feedbacks are beneficial for any organization. With the help of positive feedback, it is known what the employee likes about the company and what is the strong part of it and how can it become better. It increases the overall gain of the company. Negative feedback should be taken as constructive criticism i.e., the organization should work where it’s lagging to fulfil the wishes and needs of employees. This paper proposes a method for employee feedback analysis using sentiment analysis through the generation of word clouds. To test this feedback model TCS Employee review data was taken into consideration which consisted of Indian as well as International Reviews. The results show a positive inclination towards the company and represent that people are generally happy and satisfied with the organization.
Keywords
Keywords: Sentiment Analysis, Feedback, Employee Reviews, Review Analysis, TCS, Word Cloud.
Cite as
Janhvi Juyal, Sonakshi Vij and Deepali Virmani, "An Employee Feedback Model Based on Sentimental Analysis and Word Clouds", In: Satyasai Jagannath Nanda and Rajendra Prasad Yadav (eds), Data Science and Intelligent Computing Techniques, SCRS, India, 2023, pp. 79-92. https://doi.org/10.56155/978-81-955020-2-8-8