Statistical and Deep Learning Approaches for Literary Genre Classification-Reference-Cited by-同舟云学术

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Statistical and Deep Learning Approaches for Literary Genre Classification

Published:2022 Issue: Volume: Page:297-305
ISSN:2367-3370
Container-title:Advances in Data and Information Sciences
language:
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Author:

Goyal Anshaj,Prem Prakash V.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-5689-7_26

Reference19 articles.

1. Hart M (1971) Project Gutenberg. Available www.gutenberg.org. Accessed 17 Apr 2021

2. Google Inc. (2004). Google books. http://books.google.com. Accessed 17 Apr 2021

3. Education Resources Information Center (1966) Available www.eric.gov. Accessed 17 Apr 2021.

4. Abbott D, Kim Y (2008) Genre classification. In: DCC briefing Papers: introduction to curation. Available https://www.dcc.ac.uk/guidance/briefing-papers/introduction-curation/genre-classification. Accessed 18 Apr 2021

5. Kim Y. Automating semantic metadata extraction. Available https://www.digitalpreservationeurope.info/publications/briefs/semantic%20metatada.pdf. Accessed 19 Apr 2021

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. Genre Classification: A Machine Learning Based Comparative Study of Classical Bengali Literature;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13

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