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Keyword

aspect extraction

Description: A natural language processing task that identifies specific aspects or features discussed in text, often as a step in aspect-based sentiment analysis.
OpenAlex ID: keywords/aspect-extraction
SemEval-2016 Task 5: Aspect Based Sentiment Analysis
2016 · Maria Pontiki, Dimitris Galanis, et al. · International Workshop on Semantic Evaluation (SemEval) · 1,285
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Aspect extraction for opinion mining with a deep convolutional neural network
2016 · Soujanya Poria, Erik Cambria, et al. · Knowledge-Based Systems · 862
Survey on Aspect-Level Sentiment Analysis
2015 · Kim Schouten, Flavius Frasincar · IEEE Transactions on Knowledge and Data Engineering · 832
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Modeling online reviews with multi-grain topic models
2008 · Ivan Titov, Ryan McDonald · International World Wide Web Conference (WWW) · 788
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Aspect and sentiment unification model for online review analysis
2011 · Yohan Jo, Alice H. Oh · ACM International Conference on Web Search and Data Mining (WSDM) · 774
Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review
2018 · Hai Ha Do, PWC Prasad, et al. · Expert Systems with Applications · 614
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges
2022 · Wenxuan Zhang, Xin Li, et al. · IEEE Transactions on Knowledge and Data Engineering · 573
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An Unsupervised Aspect-Sentiment Model for Online Reviews
2010 · Samuel Brody, Noémie Elhadad · 507
Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis
2020 · Haiyun Peng, Lu Xu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 461
Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS)
2014 · Qiming Diao, Minghui Qiu, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 455
Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis
2016 · Wenya Wang, Sinno Jialin Pan, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 449
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Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction
2018 · Hu Xu, Bing Liu, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 430
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BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis
2019 · Xu, Hu, Liu, Bing, et al. · arXiv (Cornell University) · 424
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An Unsupervised Neural Attention Model for Aspect Extraction
2017 · Ruidan He, Wee Sun Lee, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 423
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Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid
2010 · ZHAO, Xin, JIANG, Jing, et al. · Singapore Management University Institutional Knowledge (InK) (Singapore Management University) · 419
A Practical Guide to Sentiment Analysis
2017 · Feraco, Antonio, Bandyopadhyay, Sivaji, et al. · Socio-affective computing · 410
Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks
2018 · Binxuan Huang, Yanglan Ou, et al. · Lecture notes in computer science · 390
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Building a Sentiment Summarizer for Local Service Reviews
2008 · Sasha Blair-Goldensohn, Kerry Hannan, et al. · 388
Issues and Challenges of Aspect-based Sentiment Analysis: A Comprehensive Survey
2020 · Ambreen Nazir, Yuan Rao, et al. · IEEE Transactions on Affective Computing · 373
A survey on classification techniques for opinion mining and sentiment analysis
2017 · Fatemeh Hemmatian, Mohammad Karim Sohrabi · Artificial Intelligence Review · 373
Aspect Extraction through Semi-Supervised Modeling
2012 · Arjun Mukherjee, Bing Liu · 347
Latent aspect rating analysis without aspect keyword supervision
2011 · Hongning Wang, Yue Lu, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 334
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks
2019 · Binxuan Huang, Kathleen Carley · 329
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A Unified Generative Framework for Aspect-based Sentiment Analysis
2021 · Hang Yan, Junqi Dai, et al. · 326
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Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis
2018 · Yukun Ma, Haiyun Peng, et al. · Cognitive Computation · 309
Works count: 2,268
Citation count: 41,260
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