Multi-Document Extractive Text Summarization via Deep Learning Approach-Reference-Cited by-同舟云学术

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Multi-Document Extractive Text Summarization via Deep Learning Approach

Published:2019-02 Issue: Volume: Page:
ISSN:
Container-title:2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)
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Author:

Rezaei Afsaneh,Dami Sina,Daneshjoo Parisa

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8732269/8734902/08735084.pdf?arnumber=8735084

Cited by 13 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. An Aspect-Level Sentiment Analysis Based on LDA Topic Modeling;Journal of Information Systems and Telecommunication (JIST);2024-06-24

2. Text Summarization using different Methods for Deep Learning;BIO Web of Conferences;2024

3. Large text document summarization based on an enhanced fuzzy logic approach;International Journal of Information Technology;2023-12-30

4. A Novel Query Based Summerizer Model Of Product Reviews Using Modified LDA;2023 International Conference on Networking and Communications (ICNWC);2023-04-05

5. Sentence embedding approach using LSTM auto-encoder for discussion threads summarization;Computer Science and Information Systems;2023

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