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Research Article

Book Summarization using NLP

Vrushali Agate1 Shilotej Mirajkar2 Gauri Toradmal3
123E&TC, Pune Institute of Computer Technology, Pune, Maharashtra, India.

Published Online: March-April 2023

Pages: 476-480

References

1. Andhale, N., & Bewoor, L. A. (2016). An overview of Text Summarization techniques. 2016 International Conference on Computing
Communication Controland Automation (ICCUBEA). doi:10.1109/iccubea.2016.7860024
2. Boorugu, R., & Ramesh, G. (2020). A Survey on NLP based Text Summarization for Summarizing Product Reviews. 2020 Second
International Conferenceon Inventive Research in Computing Applications (ICIRCA). doi:10.1109/icirca48905.2020.9183
3. Neelima Bhatia, ArunimaJaiswal, “Automatic Text Summarization: Single and Multiple Summarizations ”, International Journal of
Computer Applications.
4. Bui, D. D. A., Del Fiol, G., & Jonnalagadda, S. (2016). PDF text classification to leverage information extraction from
publication reports. Journal ofBiomedical Informatics, 61, 141–148. doi:10.1016/j.jbi.2016.03.026
5. Dipanjan Das, Andre F.T. Martins, “A Survey on Automatic Text Summarization”,Language Technologies Institute, Carnegie Mellon
University, November2007.
6. Hamid Jelodar, Yongli Wang, Chi Yuan , “Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a survey”
Nanjing University ofScience and Technology , November 2007
7. NLTK Documentation: https://www.nltk.org/
8. HuggingFace: https://huggingface.co/docs/hub/models-libraries

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