Aspect-based sentiment analysis with attention-assisted graph and variational sentence representation

Article Computer Science, Artificial Intelligence

Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks

Bin Liang et al.

Summary: This paper proposes a graph convolutional network model Sentic GCN based on SenticNet to enhance the affective dependencies of sentences for aspect-based sentiment analysis. By integrating emotional knowledge from SenticNet, the model effectively handles contextual affective information in sentences, improving the effectiveness of sentiment polarity detection towards specific aspects.

KNOWLEDGE-BASED SYSTEMS (2022)

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Article Computer Science, Artificial Intelligence

Cooperative gating network based on a single BERT encoder for aspect term sentiment analysis

Yuqing Peng et al.

Summary: In this paper, the CGBN model is proposed, which can extract hidden context vectors and aspect word vectors simultaneously with a new interactive gating mechanism called co-gate, capturing emotional semantic features. BERT-PT is used to fine-tune the CGBN model and a domain adaptation method is applied to enhance the training effect of target domain data. Experiments demonstrate the validity of the model.

APPLIED INTELLIGENCE (2022)

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Editorial Material Computer Science, Artificial Intelligence

Information fusion for affective computing and sentiment analysis

Amir Hussain et al.

INFORMATION FUSION (2021)

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Article Computer Science, Artificial Intelligence

A comprehensive survey on sentiment analysis: Approaches, challenges and trends

Marouane Birjali et al.

Summary: Sentiment analysis, also known as Opinion Mining, is the task of extracting and analyzing people's opinions and emotions towards different entities. It is a powerful tool used by businesses, governments, and researchers to gain insights and make better decisions. This paper provides a comprehensive study of sentiment analysis methods, challenges, and trends for researchers in the field.

KNOWLEDGE-BASED SYSTEMS (2021)

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Article Computer Science, Artificial Intelligence

SK-GCN: Modeling Syntax and Knowledge via Graph Convolutional Network for aspect-level sentiment classification

Jie Zhou et al.

KNOWLEDGE-BASED SYSTEMS (2020)

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Article Engineering, Multidisciplinary

Sentiment analysis algorithms and applications: A survey

Walaa Medhat et al.

AIN SHAMS ENGINEERING JOURNAL (2014)

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Aspect-based sentiment analysis with attention-assisted graph and variational sentence representation

Related references

Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks

Cooperative gating network based on a single BERT encoder for aspect term sentiment analysis

Information fusion for affective computing and sentiment analysis

A comprehensive survey on sentiment analysis: Approaches, challenges and trends

SK-GCN: Modeling Syntax and Knowledge via Graph Convolutional Network for aspect-level sentiment classification

Sentiment analysis algorithms and applications: A survey

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