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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December 6, 2016
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
December 6, 2016
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
December 5, 2016
This non-technical workshop provides an overview of computational text analysis methods and tools. No experience in this area is expected or required.
December 5, 2016
This non-technical workshop provides an overview of computational text analysis methods and tools. No experience in this area is expected or required.
December 1, 2016
In this workshop, we will explore the process of moving from coded data to conclusions, the logics of analysis, identifying relationships in data, and building arguments with qualitative data.
Training: NLP with NLTK in Python
November 16, 2016
This workshop addresses various topics in Natural Language Processing, primarily through the use of NLTK.
Training: Introduction to Regular Expressions
October 26, 2016
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
Training: Introduction to Text Analysis in Python
October 19, 2016
Students will learn the basics of cleaning, transforming, and formatting text data.
October 28, 2016
In this workshop, we will explore the process of moving from coded data to conclusions, the logics of analysis, identifying relationships in data, and building arguments with qualitative data.
