Feature extraction based deep long short term memory for Hindi document summarization using political elephant herding optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s41315-022-00237-z.pdf
Reference32 articles.
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2. Askari, Q., Younas, I., Saeed, M.: Political optimizer: a novel socio-inspired meta-heuristic for global optimization. Knowl.-Based Syst. 195, 105709 (2020)
3. Bhargava, R., Sharma, G., Sharma, Y.: Deep text summarization using generative adversarial networks in Indian languages. Procedia Comput. Sci. 167, 147–153 (2020)
4. Chi, L., Li, B., Zhu, X.: Context-preserving hashing for fast text classification. In: Proceedings of the 2014 SIAM International Conference on Data Mining, Society for Industrial and Applied Mathematics, pp. 100–108. (2014).
5. Christian, H., Agus, M.P., Suhartono, D.: Single document automatic text summarization using term frequency-inverse document frequency (TF-IDF). ComTech: Comput. Math. and Eng. Appl. 7(4), 285–294 (2016)
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