Well documented introductory tutorials to Jupyter Notebooks and Python. Use the template Jupyter Notebooks to analyze a dataset and learn about text analytics. Download or run in your browser with Binder.
"We publish novice-friendly, peer-reviewed tutorials that help humanists learn a wide range of digital tools, techniques, and workflows to facilitate research and teaching. We are committed to fostering a diverse and inclusive community of editors, writers, and readers."
Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts (Justin Grimmer and Brandon M. Stewart )Politics and political conflict often occur in the written and spoken word. Scholars have long recognized this, but the massive costs of analyzing even moderately sized collections of texts have hindered their use in political science research. Here lies the promise of automated text analysis: it substantially reduces the costs of analyzing large collections of text. We provide a guide to this exciting new area of research and show how, in many instances, the methods have already obtained part of their promise. But there are pitfalls to using automated methods—they are no substitute for careful thought and close reading and require extensive and problem-specific validation. We survey a wide range of new methods, provide guidance on how to validate the output of the models, and clarify misconceptions and errors in the literature. To conclude, we argue that for automated text methods to become a standard tool for political scientists, methodologists must contribute new methods and new methods of validation.
In short, computational analysis of text is not a specific new technology or a subfield of digital humanities; it’s a wide-open conversation in the space between several different disciplines. Humanists often approach this conversation hoping to find digital tools that will automate familiar tasks. That’s a good place to start: I’ll mention tools you could use to create a concordance or a word cloud. And it’s fair to stop there. More involved forms of text analysis do start to resemble social science, and humanists are under no obligation to dabble in social science.
This reader brings together, for the first time, in one core volume the essential readings that have emerged in Digital Humanities. Chapters provide a historical overview of how the term 'Humanities Computing' developed into the term 'Digital Humanities', and highlight core readings which explore the meaning, scope, and implementation of the field.
The first comprehensive reference work to which teachers, students, and the curious can quickly turn for reliable information on the key terms and concepts of the field.
Credo Reference: Encyclopedias
Credo Reference helps you start your research with background information from authoritative encyclopedias.
Defining Digital Humanities
The Johns Hopkins Guide to Digital Media
Credo Reference helps you start your research with background information from authoritative encyclopedias.