Macroanalysis: Digital Methods and Literary History
In this volume, Matthew L. Jockers introduces readers to large-scale literary computing and the revolutionary potential of macroanalysis--a new approach to the study of the literary record designed for probing the digital-textual world as it exists today, in digital form and in large quantities. Using computational analysis to retrieve key words, phrases, and linguistic patterns across thousands of texts in digital libraries, researchers can draw conclusions based on quantifiable evidence regarding how literary trends are employed over time, across periods, within regions, or within demographic groups, as well as how cultural, historical, and societal linkages may bind individual authors, texts, and genres into an aggregate literary culture. Moving beyond the limitations of literary interpretation based on the "close-reading" of individual works, Jockers describes how this new method of studying large collections of digital material can help us to better understand and contextualize the individual works within those collections.
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LibraryThing ReviewUser Review - James.Igoe - LibraryThing
Great foray into data mining literature, although at times a bit tedious and redundant. Conceptually useful, for general concepts in data mining, but with no actual coding. Read full review
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accuracy algorithm analysis assignments Austen author gender Bildungsroman British novel chapter Chronological plotting chunks classes classiﬁcation close reading cluster coefﬁcient conﬁrm context corpus corpus linguistics correlation data set decade deﬁne Dickens digital humanities distance employed ethnic evidence example explore fact Fanning’s female authors ﬁeld ﬁgure ﬁnd ﬁnding ﬁrst ﬁve ﬂuctuations Franco Moretti genre signals Google Gothic Gothic novel graph identiﬁed individual industrial novels inﬂuence interpretation Irish American Irish American literature Irish authors Irish novels KWIC labeled linguistic literary history literary scholars literary studies machine Machine Learning macro macroanalysis male mean Melville metadata methods Moby Dick Moretti Newgate novel Ngram nineteenth-century novelistic ofthe outliers percent pronouns prose provides readers relative frequency sample Sense and Sensibility signiﬁcant silver-fork similar speciﬁc Stanford style stylistic text segment text-analysis thematic theme tion topic modeling tradition trends usage words writers