How can computers interpret something so human and nuanced like language? How can algorithms identify and mitigate racial bias in text & data? How can they be used to identify patterns, classify documents and simplify text analysis tasks?

This workshop introduces Natural Language Processing in Python and sheds light on how computers interpret language.

Expand your understanding:
https://developer.ibm.com/callforcode/racial-justice/projects/
https://developer.ibm.com/tutorials/take-two/
https://www.crowdcast.io/e/natural-language/register

🎓 What you will learn

Attendees will be introduced to:

- NLTK and Gensim will help them tokenize, process, and represent textual data to derive useful insights.

- Machine Learning applications like text classification, sentiment analysis, and topic modeling.

👩‍💻 Who should attend:

Developers, Coders, Programmers of all skill levels
People interested in building solutions using Natural Language Programming
🎈 Prerequisites:

Curious minds! Bring your laptop, the rest happens in the cloud.

🎙️ Speakers

Grishma Jena, Data Scientist at IBM, https://twitter.com/DebateLover

🤖 About the series

This workshop is part 1 of the Mine the Language series: leveraging Machine Learning in Racial Justice applications hosted by Call for Code for Racial Justice. Through this workshop series, attendees will understand the machine learning tools available to tackle issues of data gathering, classification and interpretation that are central to documenting racial injustice, recognizing bias, and empowering individuals.

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