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[3M6-OS-7c-05] Semantic Expansion and Structural Transformation of Femtech through Marketization
Quantitative Text Analysis of Press Releases Using Structural Topic Modeling
Keywords:femtech, gender, Natural language processing
This study analyzes press releases related to Femtech using structural topic modeling to examine how the market has shifted from consumer-oriented products to tools for corporate productivity enhancement. The findings indicate that Femtech has expanded beyond its initial definition as "technology addressing women's health" and has been integrated into corporate strategies such as workplace health management and employee benefits.Previous research has primarily focused on specific products, such as menstrual tracking apps, highlighting their role in promoting self-management. However, this study suggests that structural changes in the market itself have reinforced the individualization of women’s health issues. Additionally, the disappearance of narratives related to sex education as Femtech becomes increasingly marketized further illustrates the impact of this transition.Through this analysis, this study emphasizes the importance of an inductive approach to understanding market-wide transformations, given the ambiguous definition of Femtech and its evolving role in shaping the discourse on women’s health.
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