Results 41 to 50 of about 144,225 (306)
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces [PDF]
, 2018 We combine multi-task learning and semi-supervised learning by inducing a joint embedding space between disparate label spaces and learning transfer functions between label embeddings, enabling us to jointly leverage unlabelled data and auxiliary ...
Augenstein, Isabelle +2 more
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Aspect-Level Sentiment Analysis Model Combining Double Graph Convolution and Gated Linear Unit [PDF]
Jisuanji gongchengThe aspect-level sentiment analysis aims to determine the sentiment polarity of a given aspect of a sentence. The existing graph neural network-based aspect-level sentiment analysis has two shortcomings: first, it ignores different types of syntactic ...
YANG Chunxia, WU Yalei, YAN Han, HUANG Yukun
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SemEval-2016 task 5 : aspect based sentiment analysis [PDF]
, 2016 International audienceThis paper describes the SemEval 2016 shared task on Aspect Based Sentiment Analysis (ABSA), a continuation of the respective tasks of 2014 and 2015.
Al-Ayyoub, Mahmoud +18 more
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Aspect-Level Sentiment Analysis Based on Bidirectional-GRU in SIoT
IEEE Access, 2021 A variety of independent research activities have recently been undertaken to explore the feasibility of incorporating social networking principles into the Internet of Things solutions.
Waqar Ali +4 more
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Dual-Attention Model for Aspect-Level Sentiment Classification
CoRR, 2023 9 pages, 5 ...
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Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification [PDF]
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019 Aspect-level sentiment classification is a crucial task for sentiment analysis, which aims to identify the sentiment polarities of specific targets in their context. The main challenge comes from multi-aspect sentences, which express multiple sentiment polarities towards different targets, resulting in overlapped feature representation.
Chunning Du +6 more
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IEEE Access, 2019 Aspect-level sentiment classification (ASC) is a research hotspot in natural language processing, which aims to infer the sentiment polarity of a particular aspect in an opinion sentence.
Ziyu Zhou, Fang'ai Liu, Qianqian Wang
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Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages [PDF]
, 2018 Sentiment analysis in low-resource languages suffers from a lack of annotated corpora to estimate high-performing models. Machine translation and bilingual word embeddings provide some relief through cross-lingual sentiment approaches.
Barnes, Jeremy +2 more
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A syntactic dependency method for aspect-level sentiment classification by deep learning
Measurement + Control, 2023 Most aspect-level sentiment classification networks include the long short-term memory (LSTM) network, coupled with attention mechanism and memory module, is becoming widely applied in aspect-level sentiment classification.
Siyi Chen +4 more
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Multi-grained Sentiment Analysis of Comments Based on Text Generation [PDF]
Jisuanji kexueWith the rise of social media and online review platforms,automated sentiment analysis has become a key tool for understanding public emotions,consumer preferences,and market trends.Traditional sentiment analysis methods often use classification models ...
ZHANG Jiawei, WANG Zhongqing, CHEN Jiali
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