By analyzing Glassdoor reviews, I seek to uncover how experiences and perceptions differ between various positions at the same company, as well as same job titles in different companies. Using the KeyBERT model in Python, I extract keywords using both Maxsum and MMR (Maximal Marginal Relevance) methods. Below is an embed of the presentation, but if you would like to view the full Powerpoint, it is hosted here on OneDrive. You can also view the original Google Colab notebook to see the code.