Generation of Ideologically-Biased Historical Documentaries
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Towards empirical evaluation of affective tactical NLG
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Generating shifting sentiment for a conversational agent
CAAGET '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
Ecological evaluation of persuasive messages using Google AdWords
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
SUBVERTISER: mocking ads through mobile phones
Proceedings of the companion publication of the 19th international conference on Intelligent User Interfaces
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In this paper we present a tool for valence shifting of natural language texts, named Valentino (VALENced Text INOculator). Valentino can modify existing textual expressions towards more positively or negatively valenced versions. To this end we built specific resources, gathering valenced terms that are semantically or contextually connected to the original one, and implemented strategies that use these resources in the substitution process. Valentino is meant to be a modular component. It is non-domain specific and it requires as its input a coefficient that represents the desired valence for the final expression.