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
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March 22, 2017
In this workshop we will cover two main supervised text analysis methods, the dictionary method, and supervised classification.
March 20, 2017
This hands on workshop builds on part 2 by introducing the basics of Python's scikit-learn package to implement unsupervised text analysis methods.
March 15, 2017
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
March 13, 2017
This non-technical workshop provides an overview of computational text analysis methods and tools.
Training: NLP with NLTK in Python
March 1, 2017
This workshop addresses various topics in Natural Language Processing, primarily through the use of NLTK.
February 28, 2017
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.
Training: Introduction to Regular Expressions
February 22, 2017
Are you trying to search for or clean up certain segments of text in your documents or data files, but it's taking hours to search and replace, because you have to type many slightly different vers
January 12, 2017
In this workshop we will cover two main supervised text analysis methods, the dictionary method, and supervised classification.
January 12, 2017
In this workshop we will cover two main supervised text analysis methods, the dictionary method, and supervised classification.
