Incorporate opinion-towards for stance detection
Authors:
- Yujie FuYFYujie Fu
- Xiaoli LiXLXiaoli Li
- Yang LiYLYang Li
- Suge WangSWSuge Wang
- Deyu LiDLDeyu Li
- Jian LiaoJLJian Liao
- Jianxing ZhengJZJianxing Zheng
- 4 April 2022
- journal article
- research article
- Published by Elsevier in Knowledge-Based Systems
- Vol. 246
Abstract
No abstract availableKeywords
This publication has 37 references indexed in Scilit:
- Stance and Sentiment in TweetsACM Transactions on Internet Technology, 2017
- Stance Detection with Bidirectional Conditional Encoding2016
- Detecting Stance in Tweets And Analyzing its Interaction with Sentiment2016
- SemEval-2016 Task 6: Detecting Stance in Tweets2016
- pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection2016
- MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection2016
- DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs2016
- TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble2016
- Convolutional Neural Networks for Sentence Classification2014
- Opinion Mining and Sentiment AnalysisFoundations and Trends® in Information Retrieval, 2008