TY - GEN
T1 - Towards an Automatic Generation of Persuasive Messages
AU - Lipa-Urbina, Edson
AU - Condori-Fernandez, Nelly
AU - Suni-Lopez, Franci
N1 - Funding Information:
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.
Funding Information:
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.
Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021/6/23
Y1 - 2021/6/23
N2 - 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.
AB - 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.
KW - Persuasive message
KW - SentiGAN
KW - Text generation
UR - http://www.scopus.com/inward/record.url?scp=85111997254&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-79460-6_5
DO - 10.1007/978-3-030-79460-6_5
M3 - Articulo (Contribución a conferencia)
AN - SCOPUS:85111997254
SN - 9783030794590
VL - 12684
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 55
EP - 62
BT - Persuasive Technology - 16th International Conference, PERSUASIVE 2021, Proceedings
A2 - Ali, Raian
A2 - Lugrin, Birgit
A2 - Charles, Fred
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 12 April 2021 through 14 April 2021
ER -