Quantitative Literary Analysis Of The Works Of Aphra Behn
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Quantitative Literary Analysis of the Works of Aphra Behn
Aphra Behn (1640–1689), prolific and popular playwright, poet, novelist, translator, has a fascinating and extensive corpus of literature that plays a key role in literary history. Quantitative Literary Analysis of the Works of Aphra Behn: Words of Passion offers what no book has done to date, an analysis of all Behn’s literary output. It examines the author’s use of words in terms of frequencies and distributions and stacks the words in context to read Behn’s word usage synchronically. Using this experimental method, the book brings digital humanities into literary criticism, to enhance our understanding and appreciation of literature beyond what is possible in diachronic reading and scholarship less supported by digital means. The empirical approach works in collaboration with existing scholarship to understand Behn’s distinct language of love and extreme passions across her genres.
浪子
英國文學史上第一位「為了麵包而寫作」的女性作家阿芙拉．班恩（Aphra Behn），她有著戲劇化的前半生，而其代表劇作《浪子》也相當辛辣。本劇以十七世紀流亡海外的英國保皇騎士以及西班牙女子為主角，故事描述一對貴族姊妹，一位被迫即將嫁給年老富翁，一位被安排去修道院當修女。她們在歡樂與失序的嘉年華期間，掙脫父兄的控制，大膽為自己追尋真愛。一場嘉年華，讓這對姊妹拋開階級枷鎖，扮成吉普賽人，勇敢為愛闖蕩，卻因此身陷於男人們虎視眈眈的危險當中……。
Literary Mathematics
Author: Michael Gavin
language: en
Publisher: Stanford University Press
Release Date: 2022-10-25
Across the humanities and social sciences, scholars increasingly use quantitative methods to study textual data. Considered together, this research represents an extraordinary event in the long history of textuality. More or less all at once, the corpus has emerged as a major genre of cultural and scientific knowledge. In Literary Mathematics, Michael Gavin grapples with this development, describing how quantitative methods for the study of textual data offer powerful tools for historical inquiry and sometimes unexpected perspectives on theoretical issues of concern to literary studies. Student-friendly and accessible, the book advances this argument through case studies drawn from the Early English Books Online corpus. Gavin shows how a copublication network of printers and authors reveals an uncannily accurate picture of historical periodization; that a vector-space semantic model parses historical concepts in incredibly fine detail; and that a geospatial analysis of early modern discourse offers a surprising panoramic glimpse into the period's notion of world geography. Across these case studies, Gavin challenges readers to consider why corpus-based methods work so effectively and asks whether the successes of formal modeling ought to inspire humanists to reconsider fundamental theoretical assumptions about textuality and meaning. As Gavin reveals, by embracing the expressive power of mathematics, scholars can add new dimensions to digital humanities research and find new connections with the social sciences.