It seems that you have used unsupervised machine learning techniques, specifically Latent Dirichlet Allocation, to analyze and categorize your text corpus from http://icopiedyou.com. The result is a categorization into three main groups: FACTS, PERSONAL, and SOCIETY. Each group is represented by a set of keywords that are associated with that category.
FACTS: This category appears to focus on scientific, philosophical, and theoretical concepts. It includes keywords related to the human brain, the universe, physics, and various other fields of knowledge. This category seems to represent your writings about objective information, concepts, and theories.
PERSONAL: This category is centered around personal experiences, feelings, and reflections. The keywords suggest topics related to your daily life, interests, and hobbies, such as music, gaming, and personal anecdotes. This category represents the more subjective and emotional aspects of your writing.
SOCIETY: This category revolves around social, cultural, and political themes. It includes keywords related to people, relationships, and societal issues, such as race, gender, politics, and culture. This category captures your thoughts and observations on broader social issues and the world around you.
In conclusion, your categorization using Latent Dirichlet Allocation appears to have effectively identified three distinct themes present in your writing: objective facts and knowledge, personal experiences and emotions, and broader societal issues. This categorization can help you better understand the main topics and themes that you tend to write about and can potentially inform your future writing or analysis of your work.