Results 11 to 20 of about 110,262 (250)

Cross-domain aspect term extraction using pre-trained language models with pre-training and fine-tuning strategy

Data Science and Management
As an important subtask of fine-grained sentiment analysis, aspect term extraction (ATE) aims to identify aspect terms within user-generated comments. ATE supervised learning approaches are heavily based on the availability of annotated data with token ...
Chunjun Zhao, Meiling Wu, Xuzhuang Sun, Lu Kang   +3 more
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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 0002, Tieyun Qian
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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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Opinion Triplet Extraction for Aspect-Based Sentiment Analysis Using Co-Extraction Approach

Journal of ICT, 2022
In aspect-based sentiment analysis, tasks are diverse and consist of aspect term extraction, aspect categorization, opinion term extraction, sentiment polarity classification, and relation extractions of aspect and opinion terms.
Rifo Ahmad Genadi , Masayu Leylia Khodra   +1 more
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Adaptive Local Context and Syntactic Feature Modeling for Aspect-Based Sentiment Analysis

Applied Sciences, 2023
Aspect-based sentiment analysis is a fine-grained sentiment analysis task that consists of two types of subtasks: aspect term extraction and aspect sentiment classification. In the aspect term extraction task, current methods suffer from the lack of fine-
Jie Huang, Yunpeng Cui, Shuo Wang
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A More Fine-Grained Aspect–Sentiment–Opinion Triplet Extraction Task

Mathematics, 2023
Sentiment analysis aims to systematically study affective states and subjective information in digital text through computational methods. Aspect Sentiment Triplet Extraction (ASTE), a subtask of sentiment analysis, aims to extract aspect term, sentiment
Yuncong Li, Fang Wang, Sheng-hua Zhong
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IIM: an information interaction mechanism for aspect-based sentiment analysis

Connection Science, 2023
Term polarity co-extraction is an aspect-based sentiment analysis task, which has been widely used in the fields of user opinions extraction. It consists of two subtasks: aspect term extraction and aspect sentiment classification.
Le Chen, Lina Ge, Wei Zhou
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DLIREC: Aspect Term Extraction and Term Polarity Classification System [PDF]

Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), 2014
This paper describes our system used in the Aspect Based Sentiment Analysis Task 4 at the SemEval-2014. Our system consists of two components to address two of the subtasks respectively: a Conditional Random Field (CRF) based classifier for Aspect Term Extraction (ATE) and a linear classifier for Aspect Term Polarity Classification (ATP).
Zhiqiang Toh, Wenting Wang
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Soft prompt enhanced joint learning for cross-domain aspect-based sentiment analysis

Intelligent Systems with Applications, 2023
Aspect term extraction is a fundamental task in fine-grained sentiment analysis, aiming to detect customer's opinion targets from reviews about products or services.
Jingli Shi, Weihua Li, Quan Bai, Yi Yang, Jianhua Jiang   +4 more
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A Method for Improving Performance of Opinion Targets Extraction by Evaluating Category Classification [PDF]

Jisuanji gongcheng, 2022
Opinion targets extraction is mainly used for text opinion mining to discover evaluation object entities in review texts.The algorithm based on an unsupervised autoencoder can identify hidden topic information in the review corpus without manual ...
CUI Weiqi, YAN Xin, TENG Lei, CHEN Wei, XU Guangyi
doaj   +1 more source