Matches in SemOpenAlex for { <https://semopenalex.org/work/W2740314402> ?p ?o ?g. }
- W2740314402 endingPage "160" @default.
- W2740314402 startingPage "139" @default.
- W2740314402 abstract "Two main goals of the emerging field of neurocognitive poetics are (a) the use of more natural and ecologically valid stimuli, tasks and contexts and (b) providing methods and models allowing to quantify distinctive features of verbal materials used in such tasks and contexts and their effects on readers responses. A natural key element of poetic language, metaphor, still is understudied insofar as relatively little empirical research looked at literary or poetic metaphors. An exception is Katz et al.’s corpus of 204 literary metaphors by authors such as Shakespeare or Dylan Thomas, for which various rating data are available. We reanalyzed their corpus using a combination of quantitative narrative analysis, latent semantic analysis, and machine learning in order to identify relevant features of the metaphors that influenced the ratings. The combined application of computational tools sheds light on surface and affective-semantic features that co-determine the reception of poetic metaphors and successfully predicted the period of origin (i.e., early vs. late), authorship (e.g., Byron vs. Donne) and goodness ratings of the metaphors. The present results can be used for generating quantitative hypotheses or selecting and matching verbal stimuli in empirical studies of literature and neurocognitive poetics." @default.
- W2740314402 created "2017-08-08" @default.
- W2740314402 creator A5014136125 @default.
- W2740314402 creator A5036596452 @default.
- W2740314402 date "2017-07-03" @default.
- W2740314402 modified "2023-10-16" @default.
- W2740314402 title "<i>“The Brain Is the Prisoner of Thought”</i>: A Machine-Learning Assisted Quantitative Narrative Analysis of Literary Metaphors for Use in Neurocognitive Poetics" @default.
- W2740314402 cites W1083570904 @default.
- W2740314402 cites W149273465 @default.
- W2740314402 cites W1503924902 @default.
- W2740314402 cites W1514579094 @default.
- W2740314402 cites W1543904653 @default.
- W2740314402 cites W1605688901 @default.
- W2740314402 cites W1613036746 @default.
- W2740314402 cites W1841966139 @default.
- W2740314402 cites W1854884267 @default.
- W2740314402 cites W1968422660 @default.
- W2740314402 cites W1977839589 @default.
- W2740314402 cites W1978528319 @default.
- W2740314402 cites W1979445002 @default.
- W2740314402 cites W1983578042 @default.
- W2740314402 cites W1985449126 @default.
- W2740314402 cites W1985717767 @default.
- W2740314402 cites W1993190512 @default.
- W2740314402 cites W1995883077 @default.
- W2740314402 cites W1997161938 @default.
- W2740314402 cites W1998133270 @default.
- W2740314402 cites W1998172839 @default.
- W2740314402 cites W1999134540 @default.
- W2740314402 cites W2001252256 @default.
- W2740314402 cites W2006216902 @default.
- W2740314402 cites W2008669015 @default.
- W2740314402 cites W2015024653 @default.
- W2740314402 cites W2018216334 @default.
- W2740314402 cites W2019079794 @default.
- W2740314402 cites W2026161499 @default.
- W2740314402 cites W2027252199 @default.
- W2740314402 cites W2027482023 @default.
- W2740314402 cites W2028547478 @default.
- W2740314402 cites W2041379342 @default.
- W2740314402 cites W2042174017 @default.
- W2740314402 cites W2045333577 @default.
- W2740314402 cites W2045485284 @default.
- W2740314402 cites W2046487699 @default.
- W2740314402 cites W2047291623 @default.
- W2740314402 cites W2048795844 @default.
- W2740314402 cites W2049617738 @default.
- W2740314402 cites W2049626874 @default.
- W2740314402 cites W2051210577 @default.
- W2740314402 cites W2052542167 @default.
- W2740314402 cites W2054566922 @default.
- W2740314402 cites W2059630310 @default.
- W2740314402 cites W2059747390 @default.
- W2740314402 cites W2063315366 @default.
- W2740314402 cites W2063319923 @default.
- W2740314402 cites W2063600341 @default.
- W2740314402 cites W2065478087 @default.
- W2740314402 cites W2068972563 @default.
- W2740314402 cites W2069060187 @default.
- W2740314402 cites W2069321692 @default.
- W2740314402 cites W2069997377 @default.
- W2740314402 cites W2070454157 @default.
- W2740314402 cites W2072875864 @default.
- W2740314402 cites W2074036902 @default.
- W2740314402 cites W2075428449 @default.
- W2740314402 cites W2091303727 @default.
- W2740314402 cites W2098817427 @default.
- W2740314402 cites W2105104570 @default.
- W2740314402 cites W2106695994 @default.
- W2740314402 cites W2123418852 @default.
- W2740314402 cites W2131275378 @default.
- W2740314402 cites W2135457861 @default.
- W2740314402 cites W2135588545 @default.
- W2740314402 cites W2136525955 @default.
- W2740314402 cites W2141916862 @default.
- W2740314402 cites W2142197118 @default.
- W2740314402 cites W2145454741 @default.
- W2740314402 cites W2163608125 @default.
- W2740314402 cites W2166558478 @default.
- W2740314402 cites W2167366739 @default.
- W2740314402 cites W2244497036 @default.
- W2740314402 cites W2277687938 @default.
- W2740314402 cites W2315500428 @default.
- W2740314402 cites W2320452957 @default.
- W2740314402 cites W2323575246 @default.
- W2740314402 cites W2326754343 @default.
- W2740314402 cites W2334518495 @default.
- W2740314402 cites W2345772611 @default.
- W2740314402 cites W2415973339 @default.
- W2740314402 cites W2474490042 @default.
- W2740314402 cites W2490369451 @default.
- W2740314402 cites W2523009687 @default.
- W2740314402 cites W2525491056 @default.
- W2740314402 cites W2551889513 @default.
- W2740314402 cites W2560682927 @default.
- W2740314402 cites W2560775105 @default.
- W2740314402 cites W2569572921 @default.
- W2740314402 cites W2911964244 @default.