179.yaml

# Talk details are specified in YAML files
# YAML was selected because we can use multi-line strings and add
# comments in the file.

speaker_name: "Roberto Rocha"

talk_title: "Using word2vec to see what CBC 'knows' about Canada"

# At least 1 tag is necessary!!
talk_tags:
- "Machine Learning & Data Science"



talk_abstract: "What does a decade of news stories published on cbc.ca tell us about Canada? What words and ideas are associated with different cities, provinces, and public figures? Can it tell us who is Montreal's Drake or what is the Vancouver equivalent of poutine? Can it reveal unconscious biases? Are certain words more associated with the word 'man' than the word 'woman'? With 'black' versus 'white', 'indigenous', or 'immigrant'? In this talk, I'll show how I trained a neural word embedding model with hundreds of thousands of news stories using the gensim library and explored the word associations through a Jupyter notebook."

about_author: "Roberto is an investigative data journalist at the CBC who traded Excel for Jupyter notebooks years ago and has never looked back. His goals are to master NLP and network graphs in the service of journalism."

talk_metadata:

    - "**Date:** Saturday Nov. 16"

    - "**Location:** Round Room (PyData Track)"

    - "**Begin time:** 10:30"

    - "**Duration:** 25 minutes"