Extracting and Ranking Product Features in Opinion Documents
By Lei Zhang, Bing Liu, Suk Hwan Lim, Eamonn O'Brien-Strain. International Conference on Computational Linguistics, 2010
317 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/c2b53c2d38aa6b554252043edb26b1cbb7b9afa6
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Citations in the corpus
- Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets (2016, methodology): “…target extraction methods exist (Hu and Liu, 2004; Zhuang et al., 2006; Ku et al., 2006; Wang and Wang, 2008; Wu et al., 2009; Lin and He, 2009; Zhang et al., 2010; Mei et al., 2007; Li et al., 2010; Brody and Elhadad, 2010; Wang et al., 2010; Mukherjee and Liu, 2012; Fang and Huang, 2012;…”
- Automated Rule Selection for Aspect Extraction in Opinion Mining (2015, background): “The former is mainly based on dependency relations [Hu and Liu, 2004; Zhuang et al. , 2006; Wang and Wang, 2008; Wu et al. , 2009; Zhang et al. , 2010; Zhao et al. , 2010b; 2014; Liu et al. , 2013b], while the latter on CRF [Jakob and Gurevych, 2010; Choi and Cardie, 2010; Mitchell et al. , 2013]…”
- Sentiment Analysis and Opinion Mining (2012, methodology): “Zhang et al. (2010) improved this method by adding more relations and by ranking the extracted aspects using a graph method.”
- Challenges in Sentiment Analysis (2017, background): “Past work in sentiment analysis has focused extensively on detecting polarity, and to a smaller extent on detecting the target of the sentiment (the stimulus) (Popescu and Etzioni 2005; Su et al. 2006; Xu et al. 2013; Qadir 2009; Zhang et al. 2010; Zhang and Liu 2011; Kessler and Nicolov 2009).”
- TriRank: Review-aware Explainable Recommendation by Modeling Aspects (2015, background): “, [32] considered specific phrase patterns and sentence patterns.”