TY - GEN
T1 - Towards an Automatic Generation of Persuasive Messages
AU - Lipa-Urbina, E.
AU - Condori-Fernandez, N.
AU - Suni-Lopez, F.
PY - 2021
Y1 - 2021
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.
U2 - 10.1007/978-3-030-79460-6_5
DO - 10.1007/978-3-030-79460-6_5
M3 - Conference contribution
SN - 9783030794590
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
A2 - Ali, Raian
A2 - Lugrin, Birgit
A2 - Charles, Fred
PB - Springer Science and Business Media Deutschland GmbH
T2 - 16th International Conference on Persuasive Technology, PERSUASIVE 2021
Y2 - 12 April 2021 through 14 April 2021
ER -