Over the past decade, there has been a noticeable shift in the way mental health is perceived, moving away from the stigma that once silenced discussions around it. Nowadays, conversations about mental well-being are widespread, especially online, where various platforms have dedicated spaces for users to share their thoughts, advice, and personal experiences. Notably, Reddit.com stands out as a hub for such discussions, hosting numerous communities, or ‘subreddits,’ focused on mental health topics. Among the most popular are r/mentalhealth, r/depression, and r/anxiety, which collectively boast more than 1.8 million subscribers. This project aimed to gather and analyze textual data from these three subreddits, spanning four years from March 11, 2018, to March 11, 2022. Employing natural language processing techniques, the dataset, consisting of approximately 1.1 million posts, was dissected by means of sentiment analysis and topic modeling. By examining trends across all three subreddits, as well as individually, the study sought to understand how mental health discussions evolve within Reddit’s user community and what topics stand out as the most prevalent. This involved delving into the body text of posts made to the site and referencing Reddit’s tagging system to categorize discussions within each community, where available.