Christopher W. Forstall, Walter J. Scheirer Quantitative Intertextuality: Analyzing the Markers of Information Reuse 9783030234133

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Автор: Christopher W. Forstall, Walter J. Scheirer (Кристофер У. Форсталл)
Название: Quantitative Intertextuality: Analyzing the Markers of Information Reuse
Перевод названия: Кристофер У. Форсталл: Количественная интертекстуальность. Анализ маркеров повторного использования
ISBN: 9783030234133
Издательство: Springer
Классификация:

Культурология

Информационный поиск

Искусственный интеллект

ISBN-10: 3030234134
Обложка/Формат: Hardcover
Страницы: 189
Вес: 0.48 кг.
Дата издания: 18.07.2019
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 25 illustrations, black and white; xvii, 189 p. 25 illus.
Размер: 234 x 156 x 16
Читательская аудитория: Professional & vocational
Подзаголовок: Analyzing the markers of information reuse
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book introduces quantitative intertextuality, a new approach to the algorithmic study of information reuse in text, sound and images. Employing a variety of tools from machine learning, natural language processing, and computer vision, readers will learn to trace patterns of reuse across diverse sources for scholarly work and practical applications. The respective chapters share highly novel methodological insights in order to guide the reader through the basics of intertextuality.

In Part 1, Theory, the theoretical aspects of intertextuality are introduced, leading to a discussion of how they can be embodied by quantitative methods. In Part 2, Practice, specific quantitative methods are described to establish a set of automated procedures for the practice of quantitative intertextuality. Each chapter in Part 2 begins with a general introduction to a major concept (e.g., lexical matching, sound matching, semantic matching), followed by a case study (e.g., detecting allusions to a popular television show in tweets, quantifying sound reuse in Romantic poetry, identifying influences in fan faction by thematic matching), and finally the development of an algorithm that can be used to reveal parallels in the relevant contexts.

Because this book is intended as a gentle introduction, the emphasis is often on simple yet effective algorithms for a given matching task. A set of exercises is included at the end of each chapter, giving readers the chance to explore more cutting-edge solutions and novel aspects to the material at hand. Additionally, the books companion website includes software (R and C++ library code) and all of the source data for the examples in the book, as well as supplemental content (slides, high-resolution images, additional results) that may prove helpful for exploring the different facets of quantitative intertextuality that are presented in each chapter.

Given its interdisciplinary nature, the book will appeal to a broad audience. From practitioners specializing in forensics to students of cultural studies, readers with diverse backgrounds (e.g., in the social sciences, natural language processing, or computer vision) will find valuable insights.

Quantitative Intertextuality: Analyzing the Markers of Information Reuse, Christopher W. Forstall, Walter J. Scheirer