Analyzing Employee Sentiment of Companies via Social Media and Job Sites for Informed Job Hunting
Clifford Allen Ebayan, Clint Earl Ebayan, Mark Jover R. Dela Cruz, Marinelle C. Manaligod, Annjeannette Alain D. Galang · 2025
This research addresses the challenges job seekers face in effectively evaluating companies based on online employee reviews. The abundance of online information makes it difficult to quickly and accurately assess company culture and work environment, leading to a time-consuming decision-making process. To solve this problem, the study proposes a sentiment analysis model using logistic regression. This model categorizes employee reviews as positive, negative, or neutral, providing job seekers with a concise summary to support informed decisions. The incorporation of machine learning improves the accuracy of the sentiment analysis, offering a clearer picture of the overall company environment.