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Modeling sentiment dependencies with graph convolutional networks for aspect-level sentiment classification [PDF]
Knowledge-Based Systems, 2020 Abstract Aspect-level sentiment classification aims to distinguish the sentiment polarities over one or more aspect terms in a sentence. Existing approaches mostly model different aspects in one sentence independently, which ignore the sentiment dependencies between different aspects. However, such dependency information between different aspects can
Ou Wu
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Aspect sentiment learning for Aspect-Level Sentiment Classification
Neural Networks, 2023Aspect-Level Sentiment Classification (ALSC) is a fine-grained Sentiment Analysis (SA) task that aims to determine the sentiments of a sentence toward different aspects. Despite their significant success, most existing methods derive aspect sentiment semantics from individual sentences, overlooking the interrelationships among relevant sentences that ...
Zhongquan Jian +4 more
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Relation construction for aspect-level sentiment classification
Information Sciences, 2022Abstract Aspect-level sentiment classification aims to obtain fine-grained sentiment polarities of different aspects in one sentence. Most existing approaches handle the classification by acquiring the importance of context words towards each given aspect individually, and ignore the benefits brought by aspect relations.
Jiandian Zeng +3 more
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Ensemble correction model for aspect-level sentiment classification
Journal of Information Science, 2022The aspect-level sentiment analysis is widely used in public opinion analysis. However, the problem of context information loss and distortion with the increase of the model depth is rarely considered in previous research. Few studies have attempted to combine the feature extracted from different embedding models. Based on the correction strategy, the
Yiwen Zhou, Lu An, Gang Li, Chuanming Yu
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Aspect-level Sentiment Classification with Reinforcement Learning
2019 International Joint Conference on Neural Networks (IJCNN), 2019Aspect-level sentiment classification aims to predict the sentiment polarity of a given aspect in a sentence. However, most of the existing methods focus on the information of the entire sentence rather than a segment that describes the aspect, making it difficult to identify the mapping between an aspect and a segment.
Tingting Wang +3 more
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A Convolutional Neural Network for Aspect-Level Sentiment Classification
International Journal of Pattern Recognition and Artificial Intelligence, 2019Sentiment analysis, including aspect-level sentiment classification, is an important basic natural language processing (NLP) task. Aspect-level sentiment can provide complete and in-depth results. Words with different contexts variably influence the aspect-level sentiment polarity of sentences, and polarity varies based on different aspects of a ...
Yongping Xing +3 more
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Syntactic and semantic analysis network for aspect-level sentiment classification
Applied Intelligence, 2021Aspect-level sentiment classification aims to predict sentiment polarities for different aspect terms within the same sentence or document. However, existing methods rely heavily on modeling the semantic relevance of an aspect term and its context words, and ignore the importance of syntax analysis to a certain extent.
Dianyuan Zhang +4 more
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Effective Attention Networks for Aspect-level Sentiment Classification
2018 10th International Conference on Knowledge and Systems Engineering (KSE), 2018This paper deals with the aspect-level sentiment classification which identifies the sentiment polarity of a specific aspect of its context. We introduce novel attention networks by using the benefits of Long Short-Term Memory (LSTM), Attention mechanisms and Lexicons to form an aspect-specific representation.
Huy-Thanh Nguyen, Minh-Le Nguyen 0001
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Incorporating explicit syntactic dependency for aspect level sentiment classification
Neurocomputing, 2021Abstract Aspect level sentiment classification aims to extract fine-grained sentiment expressed towards specific aspects from a sentence. The key to this task lies in connecting aspects and their respective sentiment contexts. Existing methods measure the dependency weights between aspects and context words via either the semantic similarity between ...
Wenjun Ke +3 more
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Aspect Level Sentiment Classification with Semantic Distance Attention Networks
2021 2nd International Conference on Computing, Networks and Internet of Things (CNIOT 2021), 2021Aspect-Based Sentiment Analysis (ABSA) is a kind of sentiment analysis, which extracts opinions expressed for all aspects of the entity. Compared with document-level and sentence-level sentiment analysis tasks, aspect-level sentiment analysis tasks are more granular and more challenging.
Xiaohong Cai +4 more
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