In this workshop we will cover the most common CTA task: supervised classification.
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This hands on workshop builds on part 1 by introducing the basics of Python's scikit-learn package to implement unsupervised text analysis methods.
This hands-on workshop presents a broad overview of the existing methods to use text as data, with a focus on applications in social sciences and humanities.
In this workshop we will cover two main supervised text analysis methods, the dictionary method, and supervised classification.
This hands on workshop builds on part 2 by introducing the basics of Python's scikit-learn package to implement unsupervised text analysis methods.
This hands on workshop goes through the common “preprocessing recipe” that is used as the foundation for a variety of other applications as well as some basic natural language processing techniques
In this workshop we will cover two main supervised text analysis methods, the dictionary method, and supervised classification.
This hands on workshop builds on part 2 by introducing the basics of Python's scikit-learn package to implement unsupervised text analysis methods.
This hands on workshop goes through the common “preprocessing recipe” that is used as the foundation for a variety of other applications as well as some basic natural language processing techniques
Learn how to build custom machine classifiers for sifting Twitter data using Texifter and DiscoverText, presented by Dr. Stuart Shulman, Founder & CEO of Texifter.