NLP and the Analysis of Historical Data to Understand Trends

By examining the history of women's participation in STEM through NLP analysis of publications, patent filings, and academic records, stakeholders can identify patterns and barriers to address. This historical insight is valuable for strategizing future interventions to close the gender gap.

By examining the history of women's participation in STEM through NLP analysis of publications, patent filings, and academic records, stakeholders can identify patterns and barriers to address. This historical insight is valuable for strategizing future interventions to close the gender gap.

Empowered by Artificial Intelligence and the women in tech community.
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