Distant Reading by
The essays in Distant Reading led to a new and often contested paradigm of literary analysis. In presenting them here Franco Moretti reconstructs his intellectual trajectory, the theoretical influences over his work, and explores the polemics that have often developed around his positions. From the evolutionary model of Modern European Literature, through the geo-cultural insights of Conjectures of World Literature and Planet Hollywood, to the quantitative findings of Style, inc. and the abstract patterns of Network Theory, Plot Analysis, the book follows two decades of conceptual development, organizing them around the metaphor of distant reading, that has come to define well beyond the wildest expectations of its author a growing field of unorthodox literary studies.
Data Mining and Learning Analytics by
Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning. This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates.
Electronic Textual Editing by
This volume offers an emerging consensus about the fundamental issues of electronic textual editing. It provides practical advice and faces theoretical questions. Its twenty-four essays deal with markup coding and procedures, electronic archive administration, use of standards (such as Unicode), rights and permissions, and the changing and challenging environment of the Internet.
Text Mining: A Guidebook for the Social Sciences by
Online communities generate massive volumes of natural language data and the social sciences continue to learn how to best make use of this new information and the technology available for analyzing it. Text Mining brings together a broad range of contemporary qualitative and quantitative methods to provide strategic and practical guidance on analyzing large text collections. This accessible book, written by a sociologist and a computer scientist, surveys the fast-changing landscape of data sources, programming languages, software packages, and methods of analysis available today. Suitable for novice and experienced researchers alike, the book will help readers use text mining techniques more efficiently and productively.
An interactive “no experience required” introduction to the fundamental concepts, processes, and methodological approaches for preparing and analyzing text. Workshop content and pages created by Alex Provo (NYU) and Jay Brodeur (McMaster University), with credit to Devon Mordell (McMaster University) for her foundational text prep materials. Brought to you by the Association of Research Libraries' Digital Scholarship Institute.
