Learning to disambiguate potentially subjective expressions
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Improvements to Platt's SMO Algorithm for SVM Classifier Design
Neural Computation
Automatic recognition of personality in conversation
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Using linguistic cues for the automatic recognition of personality in conversation and text
Journal of Artificial Intelligence Research
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
An exploration of off topic conversation
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
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We introduce a novel natural language processing component using machine learning techniques for prediction of personality behaviors of players in a serious game, Land Science, where players act as interns in an urban planning firm and discuss in groups their ideas about urban planning and environmental science in written natural language. Our model learns vector space representations for various features extraction. In order to apply this framework, input excerpts must be classified into one of six possible personality classes. We applied this personality classification task using several machine learning algorithms, such as: Naïve Bayes, Support Vector Machines, and Decision Tree. Training is performed on a relatively dataset of manually annotated excerpts. By combining these features spaces from psychology and computational linguistics, we perform and evaluate our approaches to detecting personality, and eventually develop a classifier that is nearly 83% accurate on our dataset. Based on the feature analysis of our models, we add several theoretical contributions, including revealing a relationship between different personality behaviors in players' writing.