A New Method for Predicting the Importance of Scientific Articles on Topics of Interest Using Natural Language Processing and Recurrent Neural Networks
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3559-4_50
Reference9 articles.
1. Hurtado R, Picón C, Muñoz A, Hurtado J (2024) Survey of intent-based networks and a methodology based on machine learning and natural language processing. In: Proceedings of eighth international congress on information and communication technology. Springer Nature Singapore, Singapore
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3. Xu M, Du J, Guan Z, Xue Z, Kou F, Shi L, Xu X, Li A (2021) A multi-RNN research topic prediction model based on spatial attention and semantic consistency-based scientific influence modeling. Comput Intell Neurosci 2021:1766743. https://doi.org/10.1155/2021/1766743
4. Kreutz C, Schenkel R (2022) Scientific paper recommendation systems: a literature review of recent publications
5. Zhu Y, Lin Q, Lu H, Shi K, Qiu P, Niu Z (2021) Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks. Knowl-Based Syst 215:106744. ISSN: 0950-7051. https://doi.org/10.1016/j.knosys.2021.106744
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