Chapter 7 - Combine the basics in powerful ways!

Attend the below CIDR workshops and learn to put the basics together in more efficient and processual ways that will supercharge your text analysis and machine learning!

Raúl Arrabales Moreno - Conscious-Robots Reloaded!

CIDR Workshops

View the workshop schedule: https://library.stanford.edu/research/cidr/workshops

Text Analysis with Python

Learn methodical text analysis approaches to single documents and corpora with the spaCy and textacy libraries.

Workshop materials: https://github.com/sul-cidr/Workshops/tree/master/Text_Analysis_with_Python

Intro to Machine Learning with Python

Familiarize yourself with procedures for document and image classification - as well as other analyses - along with cloud-based resources for machine and deep learning with the scikit-learn, lime, and tensorflow libraries.

Workshop materials: https://github.com/sul-cidr/Workshops/tree/master/Intro_to_ML_with_Python

Intro to Text Analysis workshop with R

Are you interested in analyzing collections of novels or journal articles? Do you want to understand patterns across collections of tweets or other social media data? In this workshop, we’ll learn how to import, clean, and analyze collections of text with R using several standard text mining libraries.

Workshop materials: https://cengel.github.io/R-text-analysis/

Intro to Machine Learning with R

This workshop provides a gentle introduction to machine learning vocabulary and concepts. You will learn the basics for ensemble machine learning practices using the SuperLearner package.

Workshop materials: https://github.com/sul-cidr/Workshops/tree/master/Intro_ML_R