S2SAN: A sentence-to-sentence attention network for sentiment analysis of online reviews
出版年份 2021 全文链接
标题
S2SAN: A sentence-to-sentence attention network for sentiment analysis of online reviews
作者
关键词
Sentiment analysis, Attention mechanism, Hierarchical structure, Sentence-to-sentence attention
出版物
DECISION SUPPORT SYSTEMS
Volume 149, Issue -, Pages 113603
出版商
Elsevier BV
发表日期
2021-05-22
DOI
10.1016/j.dss.2021.113603
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Revealed preference in online reviews: Purchase verification in the tablet market
- (2020) Jiaxiu He et al. DECISION SUPPORT SYSTEMS
- Examining the role of emotion in online consumer reviews of various attributes in the surprise box shopping model
- (2020) Xun Xu DECISION SUPPORT SYSTEMS
- Attention-based long short-term memory network using sentiment lexicon embedding for aspect-level sentiment analysis in Korean
- (2019) Minchae Song et al. INFORMATION PROCESSING & MANAGEMENT
- Deep learning-based sentiment classification of evaluative text based on Multi-feature fusion
- (2019) Asad Abdi et al. INFORMATION PROCESSING & MANAGEMENT
- TDAM: A topic-dependent attention model for sentiment analysis
- (2019) Gabriele Pergola et al. INFORMATION PROCESSING & MANAGEMENT
- STAT: Spatial-Temporal Attention Mechanism for Video Captioning
- (2019) Chenggang Yan et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Leveraging sentiment analysis at the aspects level to predict ratings of reviews
- (2018) Jiangtao Qiu et al. INFORMATION SCIENCES
- Domain attention model for multi-domain sentiment classification
- (2018) Zhigang Yuan et al. KNOWLEDGE-BASED SYSTEMS
- Hierarchical attention networks for information extraction from cancer pathology reports
- (2017) Shang Gao et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Research Note: What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.com
- (2017) Mudambi et al. MIS QUARTERLY
- Unsupervised method for sentiment analysis in online texts
- (2016) Milagros Fernández-Gavilanes et al. EXPERT SYSTEMS WITH APPLICATIONS
- Sentiment Embeddings with Applications to Sentiment Analysis
- (2016) Duyu Tang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Using data-driven feature enrichment of text representation and ensemble technique for sentence-level polarity classification
- (2015) Pu Zhang et al. JOURNAL OF INFORMATION SCIENCE
- The influence of reviewer engagement characteristics on online review helpfulness: A text regression model
- (2014) Thomas L. Ngo-Ye et al. DECISION SUPPORT SYSTEMS
- To whom should I listen? Finding reputable reviewers in opinion-sharing communities
- (2012) Yi-Cheng Ku et al. DECISION SUPPORT SYSTEMS
- Understanding Web 2.0 service models: A knowledge-creating perspective
- (2011) Shari S.C. Shang et al. INFORMATION & MANAGEMENT
- Opinion Mining and Sentiment Analysis
- (2008) Bo Pang et al. Foundations and Trends in Information Retrieval
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started