Publicación:
Towards an Automatic Generation of Persuasive Messages
Towards an Automatic Generation of Persuasive Messages
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Fecha
2021
Autores
Lipa-Urbina E.
Condori-Fernandez N.
Suni-Lopez F.
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Springer Science and Business Media Deutschland GmbH
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Abstracto
In the last decades, the Natural Language Generation (NLG) methods have been improved to generate text automatically. However, based on the literature review, there are not works on generating text for persuading people. In this paper, we propose to use the SentiGAN framework to generate messages that are classified into levels of persuasiveness. And, we run an experiment using the Microtext dataset for the training phase. Our preliminary results show 0.78 of novelty on average, and 0.57 of diversity in the generated messages. © 2021, Springer Nature Switzerland AG.
Descripción
Acknowledgments. This work has been supported by CONCYTEC - FONDECYT within the framework of the call E038-01 contract 014-2019. N. Condori Fernandez wish also to thank Datos 4.0 (TIN2016-78011-C4-1-R) funded by MINECO-AEI/FEDER-UE.
Palabras clave
Text generation,
Persuasive message,
SentiGAN