Authorship Attribution Using Capsule-Based Fusion Approach-Reference-Cited by-同舟云学术

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Authorship Attribution Using Capsule-Based Fusion Approach

Published:2021 Issue: Volume: Page:289-300
ISSN:0302-9743
Container-title:Natural Language Processing and Information Systems
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Author:

Suman Chanchal,Kumar Rohit,Saha Sriparna,Bhattacharyya Pushpak

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-80599-9_26

Reference24 articles.

1. Aborisade, O., Anwar, M.: Classification for authorship of tweets by comparing logistic regression and naive bayes classifiers. In: 2018 IEEE International Conference on Information Reuse and Integration (IRI), pp. 269–276. IEEE (2018)

2. Akhtar, S., Ghosal, D., Ekbal, A., Bhattacharyya, P., Kurohashi, S.: All-in-one: emotion, sentiment and intensity prediction using a multi-task ensemble framework. In: IEEE Transactions on Affective Computing (2019)

3. Al Marouf, A., Hasan, M.K., Mahmud, H.: Comparative analysis of feature selection algorithms for computational personality prediction from social media. IEEE Trans. Comput. Soc. Syst. 7(3), 587–599 (2020)

4. Aykent, S., Dozier, G.: Author identification of micro-messages via multi-channel convolutional neural networks. In: 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 675–681. IEEE (2020)

5. Bagnall, D.: Author identification using multi-headed recurrent neural networks. arXiv preprint arXiv:1506.04891 (2015)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Authorship Attribution of Scientific Abstracts;2022 26th International Conference on Pattern Recognition (ICPR);2022-08-21

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