Abstract
DO NOT USE PEARLDOI for this publication Labels Artificial Intelligence & Image ProcessingNatural LanguageClassificationVirtual artificial agentsNegotiationManage labels We present a natural language processing model that allows automatic classification and prediction of the user’s negotiation style during the interaction with virtual humans in a 3D game. We collected the sentences used in the interactions of the users with virtual artificial agents and their associated negotiation style as measured by ROCI-II test. We analyzed the documents containing the sentences for each style applying text mining techniques and found statistical differences among the styles in agreement with their theoretical definitions. Finally, we trained two machine learning classifiers on the two datasets using pre-trained Word2Vec embeddings.
DOI
10.1007/978-3-319-67401-8_43
Publication Date
2017-08-26
Publisher
Springer International Publishing
ISBN
9783319674001
ISSN
1611-3349
Embargo Period
2024-11-22
First Page
339
Last Page
342
Recommended Citation
Pacella, D., Dell’Aquila, E., Marocco, D., & Furnell, S. (2017) 'Toward an Automatic Classification of Negotiation Styles Using Natural Language Processing', Springer International Publishing: Available at: https://doi.org/10.1007/978-3-319-67401-8_43
