What Affects Glassdoor Company Ratings?
Statistical analysis of job posting tone, salary data, and company reviews to understand employer ratings.
Overview
This project investigated whether the tone of job postings (neutral vs. subjective) influences company ratings on Glassdoor. We combined sentiment analysis with statistical modeling to uncover factors affecting employer reputation.
Approach
- Data Collection from Kaggle (Data Scientist/Analyst postings + company ratings).
- Sentiment Analysis: Vader for neutrality, TextBlob for subjectivity.
- Statistical Testing: Pearson correlation, ANOVA, and linear regression.
- Comparisons with other factors like salary estimates.
Findings
- Weak correlation between job posting tone and company ratings.
- Salary estimates showed stronger correlation with ratings than posting tone.
- Highlighted the importance of considering multiple variables in employer branding analysis.
Skills demonstrated: sentiment analysis (Vader, TextBlob), statistical modeling, regression analysis, data storytelling.