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A Data Scientist Makes A Case Against Big Data Analysis Of Literature

WORDS Posted: April 8, 2019 11:02 am

“The basic criteria should always be to not confuse what happens mechanically with insight, to not needlessly use statistical tools for far simpler operations, to present inferences that are both statistically sound and argumentatively meaningful, and to make sure that functional operations would not be far faster and more accurate if someone just read the texts. It may be the case that computational textual analysis has a threshold of optimal utility, and literature—in particular, reading literature well—is that cut-off point.” – Critical Inquiry

WORDS Published: 04.19

Read the story in Critical Inquiry Published: 04.19

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