%0 Conference Proceedings
%T Predicting Personality Traits from Spontaneous Modern Greek Text: Overcoming the Barriers
%+ Department of Informatics [Ionian University]
%A Komianos, Vasileios
%A Moustaka, Eleni
%A Andreou, Maria
%A Banou, Eirini
%A Fanarioti, Sofia
%A Kermanidis, Katia, L.
%Z Part 7: First Mining Humanistic Data Workshop (MHDW 2012)
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI)
%C Halkidiki, Greece
%Y Lazaros Iliadis
%Y Ilias Maglogiannis
%Y Harris Papadopoulos
%Y Kostas Karatzas
%Y Spyros Sioutas
%I Springer
%3 Artificial Intelligence Applications and Innovations
%V AICT-382
%N Part II
%P 530-539
%8 2012-09-27
%D 2012
%R 10.1007/978-3-642-33412-2_54
%K Big Five Traits
%K Modern Greek
%K Machine Learning
%K Personality Prediction
%K Bagging
%K class imbalance
%K SMOTE
%Z Computer Science [cs]Conference papers
%X The present work aims at identifying relations between the morphosyntactic and semantic properties of an author’s writings and his/her personality traits. Machine learning schemata are used to classify an author according to the values of the Big Five traits, or predict their numerical value. Unlike related work, the current approach focuses on Modern Greek text, and makes use of limited data and resources, available at its disposal. Meta-learning and synthetic oversampling help overcome the small dataset and its imbalanced class distribution.
%G English
%Z TC 12
%Z WG 12.5
%2 https://hal.science/hal-01523090/document
%2 https://hal.science/hal-01523090/file/978-3-642-33412-2_54_Chapter.pdf
%L hal-01523090
%U https://hal.science/hal-01523090
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC12
%~ IFIP-AIAI
%~ IFIP-WG12-5
%~ IFIP-AICT-382