Abstract
Abstract This article aims to analyse aboutness in a corpus of videos posted by Brazilian female transsexual influencers. The analysis is based on Corpus Linguistics, machine learning techniques, and automated lexical mapping techniques, especially Topic Modelling. This technique served as a starting point for establishing four main topics: Relationship and Social Events, Gender, Beauty, and Transition. These topics had their statistically relevant lexis qualitatively analysed by concordance. This study used tools written in R and Python programming languages, made freely available to the community. The results show that the topics are qualitatively and quantitatively consistent, and the approach adopted was fruitful for text analysis.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
