In this workshop we will cover two main supervised text analysis methods, the dictionary method, and supervised classification.
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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 non-technical workshop provides an overview of computational text analysis methods and tools. No experience in this area is expected or required. The goal is to provide an ori
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
This non-technical workshop provides an overview of computational text analysis methods and tools.
This workshop addresses various topics in Natural Language Processing, primarily through the use of NLTK.
Getting research materials in a digital form that you can search and computationally analyze can be a time-consuming initial step in the research process.