Matches in SemOpenAlex for { <https://semopenalex.org/work/W2964124680> ?p ?o ?g. }
- W2964124680 endingPage "121" @default.
- W2964124680 startingPage "108" @default.
- W2964124680 abstract "This work shows that fillers - short utterances like “ehm” and “uhm” - allow one to predict whether someone is above median along the Big-Five personality traits. The experiments have been performed over a corpus of 2,988 fillers uttered by 120 different speakers in spontaneous conversations. The results show that the prediction accuracies range between 74 and 82 percent depending on the particular trait. The proposed approach includes a feature selection step - based on Quantum Evolutionary Algorithms - that has been used to detect the personality markers, i.e., the subset of the features that better account for the prediction outcomes and, indirectly, for the personality of the speakers. The results show that only a relatively few features tend to be consistently selected, thus acting as reliable personality markers." @default.
- W2964124680 created "2019-07-30" @default.
- W2964124680 creator A5022456933 @default.
- W2964124680 creator A5043823278 @default.
- W2964124680 creator A5075533617 @default.
- W2964124680 date "2022-01-01" @default.
- W2964124680 modified "2023-10-17" @default.
- W2964124680 title "What an “Ehm” Leaks About You: Mapping Fillers into Personality Traits with Quantum Evolutionary Feature Selection Algorithms" @default.
- W2964124680 cites W127941512 @default.
- W2964124680 cites W1519475655 @default.
- W2964124680 cites W1595732857 @default.
- W2964124680 cites W1679906238 @default.
- W2964124680 cites W1964468250 @default.
- W2964124680 cites W1969592360 @default.
- W2964124680 cites W1973277121 @default.
- W2964124680 cites W1976692960 @default.
- W2964124680 cites W1984806222 @default.
- W2964124680 cites W1986714255 @default.
- W2964124680 cites W1987074976 @default.
- W2964124680 cites W1991800845 @default.
- W2964124680 cites W1994745305 @default.
- W2964124680 cites W2002016471 @default.
- W2964124680 cites W2005292390 @default.
- W2964124680 cites W2008056655 @default.
- W2964124680 cites W2011795565 @default.
- W2964124680 cites W2014826060 @default.
- W2964124680 cites W2016937080 @default.
- W2964124680 cites W2017337590 @default.
- W2964124680 cites W2019683663 @default.
- W2964124680 cites W2031329233 @default.
- W2964124680 cites W2047092971 @default.
- W2964124680 cites W2048681867 @default.
- W2964124680 cites W2050399271 @default.
- W2964124680 cites W2064012529 @default.
- W2964124680 cites W2075342467 @default.
- W2964124680 cites W2079505110 @default.
- W2964124680 cites W2083600938 @default.
- W2964124680 cites W2084969212 @default.
- W2964124680 cites W2085662862 @default.
- W2964124680 cites W2089809964 @default.
- W2964124680 cites W2090777335 @default.
- W2964124680 cites W2093799708 @default.
- W2964124680 cites W2097571405 @default.
- W2964124680 cites W2099003806 @default.
- W2964124680 cites W2099126756 @default.
- W2964124680 cites W2108825477 @default.
- W2964124680 cites W2112347119 @default.
- W2964124680 cites W2113964013 @default.
- W2964124680 cites W2115884121 @default.
- W2964124680 cites W2117241805 @default.
- W2964124680 cites W2117255128 @default.
- W2964124680 cites W2122274805 @default.
- W2964124680 cites W2132181233 @default.
- W2964124680 cites W2134539427 @default.
- W2964124680 cites W2135933868 @default.
- W2964124680 cites W2140615673 @default.
- W2964124680 cites W2144005487 @default.
- W2964124680 cites W2146810516 @default.
- W2964124680 cites W2149723649 @default.
- W2964124680 cites W2165312226 @default.
- W2964124680 cites W216945601 @default.
- W2964124680 cites W2169863498 @default.
- W2964124680 cites W2173163709 @default.
- W2964124680 cites W2180721986 @default.
- W2964124680 cites W2187848429 @default.
- W2964124680 cites W2209700215 @default.
- W2964124680 cites W2292850062 @default.
- W2964124680 cites W2343420905 @default.
- W2964124680 cites W2394723605 @default.
- W2964124680 cites W2398016210 @default.
- W2964124680 cites W2400120833 @default.
- W2964124680 cites W2400677246 @default.
- W2964124680 cites W2401027518 @default.
- W2964124680 cites W2401291191 @default.
- W2964124680 cites W2403817006 @default.
- W2964124680 cites W2404392994 @default.
- W2964124680 cites W2423024114 @default.
- W2964124680 cites W2750484534 @default.
- W2964124680 cites W2767118408 @default.
- W2964124680 cites W2888044929 @default.
- W2964124680 cites W3111261528 @default.
- W2964124680 cites W4211153864 @default.
- W2964124680 cites W4248794219 @default.
- W2964124680 cites W4249247926 @default.
- W2964124680 cites W4256123348 @default.
- W2964124680 cites W55356581 @default.
- W2964124680 doi "https://doi.org/10.1109/taffc.2019.2930695" @default.
- W2964124680 hasPublicationYear "2022" @default.
- W2964124680 type Work @default.
- W2964124680 sameAs 2964124680 @default.
- W2964124680 citedByCount "2" @default.
- W2964124680 countsByYear W29641246802021 @default.
- W2964124680 crossrefType "journal-article" @default.
- W2964124680 hasAuthorship W2964124680A5022456933 @default.
- W2964124680 hasAuthorship W2964124680A5043823278 @default.
- W2964124680 hasAuthorship W2964124680A5075533617 @default.
- W2964124680 hasBestOaLocation W29641246802 @default.
- W2964124680 hasConcept C106934330 @default.