Many research projects involve textual data, and computational advances now provide the means to engage in various types of automated text analysis that can enhance these projects. Understanding what analysis techniques are available and where they can appropriately be applied is an important first step to beginning a text analysis project. This hands-on approach to text analysis will give a quick overview of small- and large-scale text-based projects before addressing strategies for organizing and conducting text analysis projects. Tools for data collection, parsing, and eventual analysis will be introduced and demonstrated. The workshop will focus on acquiring and preparing text sources for small-scale projects and text-based visualizations, but many of the techniques will be useful for larger projects as well. For this introduction, the focus will primarily be on using Graphical User Interface (GUI) tools like Microsoft Excel and Google Refine, instead of programming languages and command line approaches. Please click on "More information" to register.