Opinion subset selection via submodular maximization-Reference-Cited by-同舟云学术

Opinion subset selection via submodular maximization

Published:2021-06 Issue: Volume:560 Page:283-306
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Zhao Yang,Chow Tommy W.S.

Funder

City University of Hong Kong

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. Multiple instance learning networks for fine-grained sentiment analysis;Angelidis;Transactions of the Association for Computational Linguistics,2018

2. Detecting depression in social media using fine-grained emotions;Aragón,2019

3. Scalable k -means clustering via lightweight coresets;Bachem,2018

4. Multitask learning for fine-grained twitter sentiment analysis;Balikas,2017

5. F. Barrios, F. López, L. Argerich, R. Wachenchauzer, Variations of the Similarity Function of TextRank for Automated Summarization, arXiv e-prints (2016) arXiv:1602.03606.

Cited by 7 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. Opinion Summarization via Submodular Information Measures;IEEE Transactions on Knowledge and Data Engineering;2023-11-01

2. Cost-sensitive sparse subset selection;International Journal of Machine Learning and Cybernetics;2023-10-12

3. Parallel incremental association rule mining framework for public opinion analysis;Information Sciences;2023-06

4. Benchmarking large-scale subset selection in evolutionary multi-objective optimization;Information Sciences;2023-04

5. Extractive Negative Opinion Summarization of Consumer Electronics Reviews;IEEE Transactions on Consumer Electronics;2023