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The Mathematical Analysis of Style: A Correlation-Based Approach

Computers and the Humanities Volume 22, Number 4, ISSN 0010-4817


Examines mathematical models of style analysis, focusing on the pattern in which literary characteristics occur. Describes an autoregressive integrated moving average model (ARIMA) for predicting sentence length in different works by the same author and comparable works by different authors. This technique is valuable in characterizing stylistic features, but not as a tool for author identification. (GEA)


Oppenheim, R. (1988). The Mathematical Analysis of Style: A Correlation-Based Approach. Computers and the Humanities, 22(4), 241. Retrieved May 28, 2020 from .

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