PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction [PDF]
Proceedings of the 28th International Conference on Computational Linguistics, 2020 يتعلم تضمين الكلمات القائم على سياق التبعية بشكل مشترك تمثيلات سياق الكلمة والتبعية، وقد ثبتت فعاليته في استخراج المصطلح الجانبي. في هذه الورقة، نقوم بتصميم تضمين الكلمات القائم على التبعية الموضعية (POD) الذي يأخذ في الاعتبار كل من سياق التبعية والسياق الموضعي لاستخراج المصطلح الجانبي. على وجه التحديد، يتم نمذجة السياق الموضعي عبر ترميز الموضع النسبي.
Yichun Yin, Chenguang Wang, Ming Zhang
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Comprehensive analysis of aspect term extraction methods using various text embeddings [PDF]
Computer Speech & Language, 2021 Recently, a variety of model designs and methods have blossomed in the context of the sentiment analysis domain. However, there is still a lack of wide and comprehensive studies of aspect-based sentiment analysis (ABSA). We want to fill this gap and propose a comparison with ablation analysis of aspect term extraction using various text embedding ...
Łukasz Augustyniak +2 more
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Aspect and Opinion Term Extraction Using Graph Attention Network [PDF]
In this work we investigate the capability of Graph Attention Network for extracting aspect and opinion terms. Aspect and opinion term extraction is posed as a token-level classification task akin to named entity recognition. We use the dependency tree of the input query as additional feature in a Graph Attention Network along with the token and part ...
Abir Chakraborty
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Unsupervised Word and Dependency Path Embeddings for Aspect Term\n Extraction [PDF]
, 2016 IJCAI ...
Yichun Yin +5 more
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Progressive Self-Training with Discriminator for Aspect Term Extraction [PDF]
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021 Qianlong Wang +4 more
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ATE_ABSITA @ EVALITA2020: Overview of the Aspect Term Extraction and Aspect-based Sentiment Analysis Task [PDF]
, 2020 Over the last years, the rise of novel sentiment analysis techniques to assess aspect-based opinions on product reviews has become a key component for providing valuable insights to both consumers and businesses. To this extent, we propose ATE_ABSITA: the EVALITA 2020 shared task on Aspect Term Extraction and Aspect-Based Sentiment Analysis.
Lorenzo De Mattei +5 more
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Aspect Term Extraction Using Deep Learning Model with Minimal Feature Engineering [PDF]
Advanced Information Systems Engineering32nd International Conference, 2020 Zschornack Rodrigues Saraiva F +2 more
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Sentiment Analysis using Latent Dirichlet Allocation for Aspect Term Extraction
Journal of Computers, Mechanical and Management, 2022 This work proposes a sentiment analysis approach for decision-making in product design, analysis, and market share. The approach incorporates user-generated text data in the form of consumer reviews to extract product features using topic-based modeling methods.
Lovish Rajput
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Joint Modeling Based on Multi-task Learning for Aspect Term Extraction and Sen-timent Classification [PDF]
Jisuanji kexue yu tansuo, 2023 Fine-grained aspect-based sentiment analysis involves aspect term extraction and aspect sentiment classi-fication. Most existing research methods address them in an independent fashion, which lack a mechanism to account for the relevant information ...
MENG Tiantian, HAN Hu, WU Yuanhang
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Enhancing Aspect Term Extraction with Soft Prototypes [PDF]
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Aspect term extraction (ATE) aims to extract aspect terms from a review sentence that users have expressed opinions on. Existing studies mostly focus on designing neural sequence taggers to extract linguistic features from the token level. However, since the aspect terms and context words usually exhibit long-tail distributions, these taggers often ...
Zhuang Chen, Tieyun Qian
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