Learn how to Develop a Gender Bias Detector Application tool in Python Using Text Mining Libraries

Bias is prevalent in every aspect of our lives. Our brains are hardwired to categorize things we encounter in order to make sense of the complicated world around us. However, biases can cause us to form prejudices against others, which allows for egregious inequalities to form between different demographics. While bias comes in many forms, bias words in writing is one form. Implicit bias in letter writing or evaluations negatively affects individuals at every stage of their career. In this challenge, we are inviting to build a solution for detecting bias in writings such as letter of recommendations, Job Descriptions etc with respect to gender and race for promoting equity. You can choose any topic of your choice. So how can you build a Bias Detector?

The answer is in this course using the kandi 1-click solution kit. You will have a working model at the end of the session!

Learning Objectives

After completing this course you will:

  • Have a good working knowledge of the Fundamentals of Natural Language Processing.
  • Learn various concepts involved in building text mining (pre-processing) of datasets using stopwords, and tokenizers library.
  • Have a fully functional prototype that you can customize, showcase, and share, using the existing source code.

Complete this course in 3 easy steps to earn your certificate!

STEP 1 : Watch the below self-guided tutorial.
STEP 2 : Practice as you watch the video by installing and working with the kandi 1-click solution kit.
STEP 3 : Complete the assessment to receive your certificate.


Watch this self-guided tutorial on how you can use pretrained gender Bias detector model, Wordlist files which contains gender specific words, and an Input file for which the Bias needs to be detected to build your own Bias Detector application.


Click the below button to access the bias detector kandi kit. This kit has all the required dependencies and resources you need to build your application.

kandi 1click kits include Python, Jupyter notebook and helps you learn to apply the basics of machine learning, natural language processing (NLP) to detect gender based on sentences, perform text mining (pre-processing) of dataset using stopwords, tokenizers library and use state of the art to build various other NLP based applications.

Click on the 1-Click Installer button on the kandi kit page to install the bias detector kit. On installing and running this kit, you will have a working model that you can customize and use in your project.

kandi 1-Click Kit - Dark

After completing this step, proceed to STEP 3.


Complete a short assessment and earn your certificate now. Congrats
Take Assessment

Your assessment will be reviewed and you will receive a verified certificate via email within a week.


Reach out to us by replying below for any help you may need with this course.

We hope you enjoyed using kandi! Continue your learning journey with kandi Congrats

MicrosoftTeams-image (55) Student Grades Predictor Breast Cancer Predictor

1 Like