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Aspect-based sentiment analysis (ABSA), which aims to identify fine-grained opinion polarity towards a specific aspect, is a challenging subtask of sentiment analysis (SA).
Aspect and sentiment unification model for online review analysis
Yohan Jo and Alice H Oh. 2011 · 2011
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Xrce: Hybrid classification for aspect-based sentiment analysis
Caroline Brun, Diana Nicoleta Popa, and Claude Roux. 2014 · 2014
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Nrc-canada-2014: Detecting aspects and sentiment in customer reviews
Svetlana Kiritchenko, Xiaodan Zhu, Colin Cherry, and Saif Mohammad. 2014 · 2014
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Semeval-2014 task 4: Aspect based sentiment analysis
Maria Pontiki, Dimitris Galanis, John Pavlopoulos, Harris Papageorgiou, Ion Androutsopoulos, and Suresh Manandhar. 2014 · 2014
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Dcu: Aspect-based polarity classification for semeval task 4
Joachim Wagner, Piyush Arora, Santiago Cortes, Utsab Barman, Dasha Bogdanova, Jennifer Foster, and Lamia Tounsi. 2014 · 2014
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Phrasernn: Phrase recursive neural network for aspect-based sentiment analysis
Thien Hai Nguyen and Kiyoaki Shirai. 2015 · 2015
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Semeval-2015 task 12: Aspect based sentiment analysis
Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Suresh Manandhar, and Ion Androutsopoulos. 2015 · 2015
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Effective lstms for target-dependent sentiment classification
Duyu Tang, Bing Qin, Xiaocheng Feng, and Ting Liu. 2015 · 2015
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Senticnet 4: A semantic resource for sentiment analysis based on conceptual primitives
Erik Cambria, Soujanya Poria, Rajiv Bajpai, and Björn Schuller. 2016 · 2016
Cited alongside, same era.
Tracking the world state with recurrent entity networks
Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, and Yann LeCun. 2016 · 2016
Cited alongside, same era.
Semeval-2016 task 5: Aspect based sentiment analysis
Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, AL-Smadi Mohammad, Mahmoud Al-Ayyoub, Yanyan Zhao, Bing Qin, Orphée De Clercq, et al. 2016 · 2016
Cited alongside, same era.
Sentihood: targeted aspect based sentiment analysis dataset for urban neighbourhoods
Tdparse: Multi-target-specific sentiment recognition on twitter
Bo Wang, Maria Liakata, Arkaitz Zubiaga, and Rob Procter. 2017 · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Recurrent entity networks with delayed memory update for targeted aspect-based sentiment analysis
Fei Liu, Trevor Cohn, and Timothy Baldwin. 2018 · 2018
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Targeted aspect-based sentiment analysis via embedding commonsense knowledge into an attentive lstm
Yukun Ma, Haiyun Peng, and Erik Cambria. 2018 · 2018
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Deep contextualized word representations
Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Marzieh Saeidi, Guillaume Bouchard, Maria Liakata, and Sebastian Riedel. 2016 · 2016
Cited alongside, same era.
Aspect level sentiment classification with deep memory network
Duyu Tang, Bing Qin, and Ting Liu. 2016 · 2016
Cited alongside, same era.
Attention-based lstm for aspect-level sentiment classification
Yequan Wang, Minlie Huang, Li Zhao, et al. 2016 · 2016
Cited alongside, same era.
Later among the works it cites.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
Later among the works it cites.