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.
This workshop will demonstrate the use of the ggplot2 and ggmaps packages for working with and visualizing geospatial data.
This workshop provides an introduction to working with and visualizing spatial data in R. We give an overview of spatial data types and methods for importing and creating spatial data.
This workshop will introduce the ArcGIS Online (AGOL) platform. AGOL is a web-based mapping software that allows you to build maps and explore data online.
This workshop addresses various topics in Natural Language Processing, primarily through the use of NLTK.
This three-part series will cover the following materials:
This three-part series will cover the following materials: