This hands on workshop builds on part 2 by introducing the basics of Python's scikit-learn package to implement unsupervised text analysis methods.
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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
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
This non-technical workshop provides an overview of computational text analysis methods and tools. No experience in this area is expected or required.
This non-technical workshop provides an overview of computational text analysis methods and tools. No experience in this area is expected or required.
This workshop covers how to organize and analyze qualitative data in MaxQDA.
This workshop covers how to organize and analyze qualitative data in Atlas.ti.
Wondering if the link between your claims and evidence is clear? Bring a draft of the findings section of a paper or article to get feedback!
This workshop covers how to organize and analyze qualitative data in Dedoose. The training will outline the key decisions the researcher must make in the coding process, as well as teach attendees