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Prominent Aspect Term Extraction in Aspect Based Sentiment Analysis
2018 3rd International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE), 2018In recent years unstructured text has flooded on the web and today it is a trend to comments, give feedback, share experiences toward products, articles, social issues, multimedia web documents etc. Most of the online social, as well as, commercial platform have started to provide separate space for user reviews in the form of natural text.
Ganpat Singh Chauhan, Yogesh Kumar Meena
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STC: Stacked Two-stage Convolution for Aspect Term Extraction
2021 International Symposium on Electrical, Electronics and Information Engineering, 2021Aspect term extraction (ATE) aims to extract aspect terms from reviews as opinion targets for sentiment analysis. Although some of the previous works prove that dependency relationship between aspect terms and context is useful for ATE, they have barely tried to use graph neural networks to capture valuable information in dependency patterns ...
Ruiqi Wang +3 more
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Joint aspect terms extraction and aspect categories detection via multi-task learning
Expert Systems with Applications, 2021Abstract Aspect Terms Extraction (ATE) and Aspect Categories Detection (ACD) are two fundamental sub-tasks for aspect-based sentiment analysis. Most of the existing works mainly focus on the ATE task or the co-extraction of aspect terms and opinion words, while few attention are paid to the ACD task.
Youcai Wei +5 more
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Unsupervised Neural Aspect Extraction with Related Terms
2020The tasks of aspect identification and term extraction remain challenging in natural language processing. While supervised methods achieve high scores, it is hard to use them in real-world applications due to the lack of labelled datasets. Unsupervised approaches outperform these methods on several tasks, but it is still a challenge to extract both an ...
Timur Sokhin +2 more
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Aspect Based Sentiment Analysis in Bangla Dataset Based on Aspect Term Extraction
2020Recent years have seen rapid growth of research on sentiment analysis. In aspect-based sentiment analysis, the idea is to take sentiment analysis a step further and find out what exactly someone is talking about, and then measuring the sentiment if she or he likes or dislikes it.
Sabrina Haque +7 more
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Recurrent Neural CRF for Aspect Term Extraction with Dependency Transmission
2018This paper presents a novel neural architecture for aspect term extraction in fine-grained sentiment computing area. In addition to amalgamating sequential features (character embedding, word embedding and POS tagging information), we train an end-to-end Recurrent Neural Networks (RNNs) with meticulously designed dependency transmission between ...
Lindong Guo +3 more
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Densely-connected neural networks for aspect term extraction
Science China Information Sciences, 2021Chen Chen +3 more
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Aspect Term Extraction Based on BiLSTM-CRF Model
2022 IEEE/ACIS 22nd International Conference on Computer and Information Science (ICIS), 2022Jiazhao Chai +2 more
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Enhancing aspect and opinion terms semantic relation for aspect sentiment triplet extraction
Journal of Intelligent Information Systems, 2022Yongsheng Zhang +4 more
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Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023
Hasna Chouikhi +2 more
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Hasna Chouikhi +2 more
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