A Personalized Cross-Platform Post Style Transfer Method Based on Transformer and Bi-Attention Mechanism

Author:

Chen Zhuo1,Liu Baoxi1,Zhang Peng1,Lu Tun1,Gu Hansu2,Gu Ning1

Affiliation:

1. Fudan University, Shanghai, China

2. Independent, Seattle, WA, USA

Funder

National Natural Science Foundation of China (NSFC)

Publisher

ACM

Reference39 articles.

1. View, Like, Comment, Post: Analyzing User Engagement by Topic at 4 Levels across 5 Social Media Platforms for 53 News Organizations

2. Ning Dai , Jianze Liang , Xipeng Qiu , and Xuan-Jing Huang . 2019 . Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation. In ACL. 5997--6007. Ning Dai, Jianze Liang, Xipeng Qiu, and Xuan-Jing Huang. 2019. Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation. In ACL. 5997--6007.

3. Yanai Elazar and Yoav Goldberg . 2018. Adversarial removal of demographic attributes from text data. arXiv preprint arXiv:1808.06640 ( 2018 ). Yanai Elazar and Yoav Goldberg. 2018. Adversarial removal of demographic attributes from text data. arXiv preprint arXiv:1808.06640 (2018).

4. Reza Farahbakhsh Angel Cuevas and Noël Crespi. 2016. Characterization of cross-posting activity for professional users across Facebook Twitter and Google Reza Farahbakhsh Angel Cuevas and Noël Crespi. 2016. Characterization of cross-posting activity for professional users across Facebook Twitter and Google

5. . Social Network Analysis and Mining , Vol. 6 , 1 ( 2016 ), 1--14. . Social Network Analysis and Mining , Vol. 6, 1 (2016), 1--14.

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