The Manosphere is a collection of predominantly male-focused and anti-women forums, which has garnered attention due to its controversial context and often extremist views. Within this community, numerous discussions occur where such language plays a key role. A feature of these communities is the development of their own specific language, creating new terms that are likely unknown to outsiders. However, by looking at the context in which these unknown terms are used, we can gain an understanding of what the underlying emotions and meanings are.

The aim of this project is to analyse the context in which language is used within the Manosphere. This will be done by applying various natural language processing (NLP) techniques, such as Term Frequency-Inverse Document Frequency (TF-IDF), co-occurring word analysis, and K-Means clustering. By combining these methods with the analysis of the emotions associated with words through lexicons, this project aims to reveal insights into the language used within the Manosphere, when considering both in-group specific and general terms.