Applying Latent Dirichlet Allocation Technique to Classify Topics on Sustainability Using Arabic Text-Reference-Cited by-同舟云学术

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Applying Latent Dirichlet Allocation Technique to Classify Topics on Sustainability Using Arabic Text

Published:2022 Issue: Volume: Page:630-638
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Al Qudah Islam,Hashem Ibrahim,Soufyane Abdelaziz,Chen Weisi,Merabtene Tarek

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-10461-9_43

Reference11 articles.

1. Alshammeri, M., Atwell, E., Alsalka, M.A.:. Quranic topic modelling using paragraph vectors. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) Proceedings of SAI Intelligent Systems Conference, AISC, vol. 1251. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-55187-2_19

2. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)

3. Lee, J.H., Wood, J., Kim, J.: Tracing the trends in sustainability and social media research using topic modeling. Sustainability 13(3), 1269 (2021)

4. Sutherland, I., et al.: Topic modeling of online accommodation reviews via latent dirichlet allocation. Sustainability 12(5), 1821 (2020)

5. Abuzayed, A., Al-Khalifa, H.: BERT for arabic topic modeling: an experimental study on BERTopic technique. Procedia Comput. Sci. 189, 191–194 (2021)

Cited by 2 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. Comparative Analysis of Topic Modeling Algorithms Based on Arabic News Documents;Lecture Notes on Data Engineering and Communications Technologies;2024

2. Topic Modeling on Arabic Language Dataset: Comparative Study;Advances in Model and Data Engineering in the Digitalization Era;2022

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