Skip to main content

Gender Bias Text Analysis in Python


Language plays a crucial role in shaping our perceptions and attitudes towards gender in the workplace. Studies have shown that gender bias in language can have a significant impact on the way women are perceived and treated in the workplace. For example, research has found that job advertisements that use masculine-coded language tend to attract more male applicants, while those that use feminine-coded language tend to attract more female applicants. Join our live training on using scraped freelancer reviews to identify differences in language commonly used for male vs. female freelancers, and learn how to use this information to promote gender equity in the workplace.

Key takeaways

  • Learn how to apply a web scraper to create a corpus of freelancer reviews

  • Learn how to label the reviews as masculine or feminine based on pronouns

  • Identify language (words and phrases) used more often for freelancers with male pronounces versus female pronouns, and study how this language varies by field

Solution workspace

Start Code Along
Richie Cotton Headshot
Richie Cotton

Data Evangelist

Webinar & podcast host, course and book author, spends all day chit-chatting about data
Maham Khan Headshot
Maham Khan

Senior Data Science Content Developer

View More Webinars

Recommended Content

Time Series Analysis in Python

Dig into financial time series in Python.


Live Training: Sentiment Analysis and Prediction in Python

Learn how to build a machine learning model predicting sentiment.


Live Training: Data Visualization in Python for Absolute Beginners

Learn the basics of how to create an interactive plot using Plotly.


Hands-on learning experience

Companies using DataCamp achieve course completion rates 6X higher than traditional online course providers

Learn More

Upskill your teams in data science and analytics

Learn More

Join 2,500+ companies and 80% of the Fortune 1000 who use DataCamp to upskill their teams.

Don’t just take our word for it.