Automatic Text Summarization Using Term Frequency, Luhn's Heuristic, and Cosine Similarity Approaches-Reference-Cited by-同舟云学术

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Automatic Text Summarization Using Term Frequency, Luhn's Heuristic, and Cosine Similarity Approaches

Published:2022-12-26 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Recent Progresses in Science, Engineering and Technology (ICRPSET)
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Author:

Siddika Saba¹,Hossen Md. Sharif¹

Affiliation:

1. Comilla University,Department of Information and Communication Technology,Cumilla,Bangladesh,3506

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10188498/10188499/10188527.pdf?arnumber=10188527

Reference25 articles.

1. A Cue-based Hub-Authority Approach for Multi-Document Text Summarization

2. Textrank: Bringing Order into Texts;mihalcea;Proceedings of EMNLP Association for Computational Linguistics,2004

3. An integrated multi-document summarization approach based on word hierarchical representation

4. Evaluation Mesaures for Text Summarization;steinberger;Journal,2009

5. A Survey on Automatic Text Summarization;saranyamol;International Journal of Computer Science and Information Technologies,2014

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. Cosmetics Recommendation System Based on Ingredients Using Cosine Similarity;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10

2. Summarization for News Article Using Unsupervised Learning Techniques;Lecture Notes in Networks and Systems;2024

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