Sentiment Summarization Generation Based on Multi Instance Learning and Graph Convolution on Social Media-Reference-Cited by-同舟云学术

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Sentiment Summarization Generation Based on Multi Instance Learning and Graph Convolution on Social Media

Published:2024-05-08 Issue: Volume:45 Page:242-247
ISSN:
Container-title:2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
language:
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Author:

Shi Bingshu¹,Liu Meiling¹,Zhou Jiyun²,Fu Kaiqun³

Affiliation:

1. Northeast Forestry University,School of Computer and Control Engineering,Harbin,China

2. Johns Hopkins University,Lieber Institute,Baltimore,USA

3. South Dakota State University,Department of Electrical Engineering and Computer Science,Brookings,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10579968/10579982/10580254.pdf?arnumber=10580254

Reference19 articles.

1. Automatic summarization of meeting recordings;Rada

2. High-performance automatic summarization based on a hybrid identification-extraction approach;Yue

3. Recent Advances in Neural Summarization;Yao

4. Jointly Extracting and Compressing Documents with Compression;Ma;Computational Linguistics,2019

5. An Unsupervised Neural Attention Model for Aspect Extraction

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