Fetching the paper…
Reading the bibliography…
Aspect-based sentiment analysis (ABSA) is a natural language processing problem that requires analyzing user-generated reviews to determine: a) The target entity being reviewed, b) The high-level aspect to which it belongs, and c) The sentiment expressed toward the targets and the aspects.
Inf-ufg at fiqa 2018 task 1: Predicting sentiments and aspects on financial tweets and news headlines
Dayan de França Costa and Nadia Felix Felipe da Silva. 2018 · 1971
Earlier work this paper cites.
Thumbs up? sentiment classification using machine learning techniques
Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002 · 2002
Earlier work this paper cites.
Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews
Peter Turney. 2002 · 2002
Earlier work this paper cites.
Agreement, the f-measure, and reliability in information retrieval
George Hripcsak and Adam S Rothschild. 2005 · 2005
Earlier work this paper cites.
Syntactic simplification and text cohesion
Advaith Siddharthan. 2006 · 2006
Earlier work this paper cites.
A holistic lexicon-based approach to opinion mining
Xiaowen Ding, Bing Liu, and Philip S. Yu. 2008 · 2008
Earlier work this paper cites.
Beyond the stars: Improving rating predictions using review text content
Gayatree Ganu, Noémie Elhadad, and Amélie Marian. 2009 · 2009
Earlier work this paper cites.
The 2010 icwsm jdpa sentment corpus for the automotive domain
Jason S. Kessler, Miriam Eckert, Lyndsie Clark, and Nicolas Nicolov. 2010 · 2010
Earlier work this paper cites.
Darmstadt service review corpus
Cigdem Toprak, Niklas Jakob, and Iryna Gurevych. 2010 · 2010
Earlier work this paper cites.
Latent aspect rating analysis without aspect keyword supervision
Hongning Wang, Yue Lu, and ChengXiang Zhai. 2011 · 2011
Earlier work this paper cites.
Building gold standard corpora for medical natural language processing tasks
Louise Deléger, Qi Li, Todd Lingren, Megan Kaiser, Katalin Molnár, Laura Stoutenborough, Michal Kouril, Keith A. Marsolo, and Imre Solti. 2012 · 2012
Earlier work this paper cites.
Improving efficiency and accuracy in multilingual entity extraction
Joachim Daiber, Max Jakob, Chris Hokamp, and Pablo N. Mendes. 2013 · 2013
Earlier work this paper cites.
Implicit aspect indicator extraction for aspect based opinion mining
Ivan Cruz, Alexander Gelbukh, and Grigori Sidorov. 2014 · 2014
Earlier work this paper cites.
Adaptive recursive neural network for target-dependent twitter sentiment classification
Li Dong, Furu Wei, Chuanqi Tan, Duyu Tang, Ming Zhou, and Ke Xu. 2014 · 2014
Earlier work this paper cites.
SemEval-2014 task 4: Aspect based sentiment analysis
Maria Pontiki, Dimitris Galanis, John Pavlopoulos, Harris Papageorgiou, Ion Androutsopoulos, and Suresh Manandhar. 2014 · 2014
Earlier work this paper cites.
Aspect-level sentiment analysis in Czech
Josef Steinberger, Tomáš Brychcín, and Michal Konkol. 2014 · 2014
Earlier work this paper cites.
Human annotated arabic dataset of book reviews for aspect based sentiment analysis
M. Al-Smadi, O. Qawasmeh, B. Talafha, and M. Quwaider. 2015 · 2015
Earlier work this paper cites.
Instance selection improves cross-lingual model training for fine-grained sentiment analysis
Roman Klinger and Philipp Cimiano. 2015 · 2015
Earlier work this paper cites.
Automated rule selection for aspect extraction in opinion mining
Qian Liu, Zhiqiang Gao, Bing Liu, and Yuanlin Zhang. 2015 · 2015
Earlier work this paper cites.
Sentirueval: testing object-oriented sentiment analysis systems in russian
Natalia V. Loukachevitch, Pavel Blinov, Evgeniy V. Kotelnikov, Yuliya Rubtsova, Vladimir Ivanov, and E. Tutubalina. 2015 · 2015
Earlier work this paper cites.
SemEval-2015 task 12: Aspect based sentiment analysis
Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Suresh Manandhar, and Ion Androutsopoulos. 2015 · 2015
Earlier work this paper cites.
Exploring distributional representations and machine translation for aspect-based cross-lingual sentiment classification
Jeremy Barnes, Patrik Lambert, and Toni Badia. 2016 · 2016
Earlier work this paper cites.
Ruining He and Julian J. McAuley. 2016 · 2016
Earlier work this paper cites.
Aspect based sentiment analysis survey
Naveen Kumar Laskari and Suresh Kumar Sanampudi. 2016 · 2016
Earlier work this paper cites.
SemEval-2016 task 5: Aspect based sentiment analysis
Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, Mohammad AL-Smadi, Mahmoud Al-Ayyoub, Yanyan Zhao, Bing Qin, Orphée De Clercq, Véronique Hoste, Marianna Apidianaki, Xavier Tannier, Natalia Loukachevitch, Evgeniy Kotelnikov, Nuria Bel, Salud María Jiménez-Zafra, and Gülşen Eryiğit. 2016 · 2016
Earlier work this paper cites.
SentiHood: Targeted aspect based sentiment analysis dataset for urban neighbourhoods
Marzieh Saeidi, Guillaume Bouchard, Maria Liakata, and Sebastian Riedel. 2016 · 2016
Cited alongside, same era.
Survey on aspect-level sentiment analysis
K. Schouten and F. Frasincar. 2016 · 2016
Cited alongside, same era.
A comprehensive survey on aspect based sentiment analysis
2 Suresh and 3 Raghavi. 2016 · 2016
Cited alongside, same era.
MUSST: A multilingual syntactic simplification tool
Carolina Scarton, Alessio Palmero Aprosio, Sara Tonelli, Tamara Martín Wanton, and Lucia Specia. 2017 · 2017
Cited alongside, same era.
Aspect based sentiment analysis-a survey
A. Sethi and P. Bhattacharyya. 2017 · 2017
Cited alongside, same era.
GermEval 2017: Shared Task on Aspect-based Sentiment in Social Media Customer Feedback
Michael Wojatzki, Eugen Ruppert, Sarah Holschneider, Torsten Zesch, and Chris Biemann. 2017 · 2017
Ate absita@ evalita2020: Overview of the aspect term extraction and aspect-based sentiment analysis task
Lorenzo De Mattei, Graziella De Martino, Andrea Iovine, Alessio Miaschi, Marco Polignano, and Giulia Rambelli. 2020 · 2020
Later among the works it cites.
Issues and challenges of aspect-based sentiment analysis: A comprehensive survey
A. Nazir, Y. Rao, L. Wu, and L. Sun. 2020 · 2020
Later among the works it cites.
Knowing what, how and why: A near complete solution for aspect-based sentiment analysis
Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, and Luo Si. 2020 · 2020
Later among the works it cites.
Beneath the tip of the iceberg: Current challenges and new directions in sentiment analysis research
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, and Rada Mihalcea. 2020 · 2020
Later among the works it cites.
Dataset creation and evaluation of aspect based sentiment analysis in Telugu, a low resource language
Yashwanth Reddy Regatte, Rama Rohit Reddy Gangula, and Radhika Mamidi. 2020 · 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
MTNA: A neural multi-task model for aspect category classification and aspect term extraction on restaurant reviews
Wei Xue, Wubai Zhou, Tao Li, and Qing Wang. 2017 · 2017
Cited alongside, same era.
Aspect based sentiment analysis: Category detection and sentiment classification for hindi
Md Akhtar, Asif Ekbal, and Pushpak Bhattacharyya. 2018 · 2018
Cited alongside, same era.
Overview of the EVALITA 2018 Aspect-based Sentiment Analysis task (ABSITA) , pages 10–16
Pierpaolo Basile, Danilo Croce, Valerio Basile, and Marco Polignano. 2018 · 2018
Cited alongside, same era.
Aspect based sentiment analysis into the wild
Caroline Brun and Vassilina Nikoulina. 2018 · 2018
Cited alongside, same era.
End-to-end neural entity linking
Nikolaos Kolitsas, Octavian-Eugen Ganea, and Thomas Hofmann. 2018 · 2018
Cited alongside, same era.
A unified model for opinion target extraction and target sentiment prediction
Xin Li, Lidong Bing, Piji Li, and Wai Lam. 2018 · 2018
Cited alongside, same era.
Later among the works it cites.
Target-aspect-sentiment joint detection for aspect-based sentiment analysis
Hai Wan, Y. Yang, Jianfeng Du, Y. Liu, Kunxun Qi, and J. Pan. 2020 · 2020
Later among the works it cites.
Position-aware tagging for aspect sentiment triplet extraction
Lu Xu, Hao Li, Wei Lu, and Lidong Bing. 2020 · 2020
Later among the works it cites.
Extractive Opinion Summarization in Quantized Transformer Spaces
Stefanos Angelidis, Reinald Kim Amplayo, Yoshihiko Suhara, Xiaolan Wang, and Mirella Lapata. 2021 · 2021
Later among the works it cites.
A survey on aspect-based sentiment classification
Gianni Brauwers and Flavius Frasincar. 2021 · 2021
Later among the works it cites.
Aspect-category-opinion-sentiment quadruple extraction with implicit aspects and opinions
Hongjie Cai, Rui Xia, and Jianfei Yu. 2021 · 2021
Later among the works it cites.
Exploring conditional text generation for aspect-based sentiment analysis
Siva Uday Sampreeth Chebolu, Franck Dernoncourt, Nedim Lipka, and Thamar Solorio. 2021 · 2021
Later among the works it cites.
NewsMTSC: A dataset for (multi-)target-dependent sentiment classification in political news articles
Felix Hamborg and Karsten Donnay. 2021 · 2021
Later among the works it cites.
Aspect based sentiment analysis for bangla newspaper headlines
Md. Nasir Hossain Hridoy, Mohammad Mohitul Islam, and Ayesha Khatun. 2021 · 2021
Later among the works it cites.
A more fine-grained aspect-sentiment-opinion triplet extraction task
Yuncong Li, Fang Wang, Wenjun Zhang, Sheng hua Zhong, Cunxiang Yin, and Yancheng He. 2021 · 2021
Later among the works it cites.
Span detection for aspect-based sentiment analysis in vietnamese
Kim Nguyen Thi Thanh, Sieu Huynh Khai, Phuc Pham Huynh, Luong Phan Luc, Duc-Vu Nguyen, and Kiet Nguyen Van. 2021 · 2021
Later among the works it cites.
Survey on aspect category detection
Siva Uday Sampreeth Chebolu, Paolo Rosso, Sudipta Kar, and Thamar Solorio. 2022 · 2022
Closest in time.
Sentfin 1.0: Entity-aware sentiment analysis for financial news
Ankur Sinha, Satishwar Kedas, Rishu Kumar, and Pekka Malo. 2022 · 2022
Closest in time.
A survey on aspect-based sentiment analysis: Tasks, methods, and challenges
Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, and Wai Lam. 2022 · 2022
Closest in time.
Memd-absa: A multi-element multi-domain dataset for aspect-based sentiment analysis
Hongjie Cai, Nan Song, Zengzhi Wang, Qiming Xie, Qiankun Zhao, Ke Li, Siwei Wu, Shijie Liu, Jianfei Yu, and Rui Xia. 2023 · 2023
Closest in time.
Domain-expanded aste: Rethinking generalization in aspect sentiment triplet extraction
Yew Ken Chia, Hui Chen, Wei Han, Guizhen Chen, Sharifah Mahani Aljunied, Soujanya Poria, and Lidong Bing. 2023 · 2023
Closest in time.
Finxabsa: Explainable finance through aspect-based sentiment analysis
Keane Ong, Wihan van der Heever, Ranjan Satapathy, Gianmarco Mengaldo, and Erik Cambria. 2023 · 2023
Closest in time.
Measuring your ASTE models in the wild: A diversified multi-domain dataset for aspect sentiment triplet extraction
Ting Xu, Huiyun Yang, Zhen Wu, Jiaze Chen, Fei Zhao, and Xinyu Dai. 2023 · 2023
Closest in time.
Document-level multi-aspect sentiment classification as machine comprehension
Yichun Yin, Yangqiu Song, and Ming Zhang. 2017 · 2054
Closest in time.
ASAP: A Chinese review dataset towards aspect category sentiment analysis and rating prediction
Jiahao Bu, Lei Ren, Shuang Zheng, Yang Yang, Jingang Wang, Fuzheng Zhang, and Wei Wu. 2021 · 2079
Closest in time.