☆ 4.7 Article

Relation construction for aspect-level sentiment classification

INFORMATION SCIENCES (2022)

ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis

Mohammad Ehsan Basiri et al.

Summary: ABCDM is an attention-based bidirectional CNN-RNN deep model that utilizes bidirectional LSTM and GRU to extract contextual information from both past and future, applying attention mechanism to emphasize different words for sentiment analysis polarity detection.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2021)

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Article Computer Science, Information Systems

Attention-based word embeddings using Artificial Bee Colony algorithm for aspect-level sentiment classification

Ming Zhang et al.

Summary: This paper proposes a method based on semantic space to address aspect-level sentiment classification problems. By designing attention vectors and optimizing a convolutional neural network model through word embeddings with an artificial bee colony algorithm, the paper achieves better classification accuracy compared to state-of-the-art models.

INFORMATION SCIENCES (2021)

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Review Computer Science, Information Systems

Cross-domain ontology construction and alignment from online customer product reviews

Qian Geng et al.

INFORMATION SCIENCES (2020)

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Article Computer Science, Artificial Intelligence

A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques

Mohammad Ehsan Basiri et al.

KNOWLEDGE-BASED SYSTEMS (2020)

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Article Computer Science, Information Systems

Three-way enhanced convolutional neural networks for sentence-level sentiment classification

Yuebing Zhang et al.

INFORMATION SCIENCES (2019)

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Article Computer Science, Information Systems

A method for multi-class sentiment classification based on an improved one-vs-one (OVO) strategy and the support vector machine (SVM) algorithm

Yang Liu et al.

INFORMATION SCIENCES (2017)

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Relation construction for aspect-level sentiment classification

相关参考文献

ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis

Attention-based word embeddings using Artificial Bee Colony algorithm for aspect-level sentiment classification

Cross-domain ontology construction and alignment from online customer product reviews

A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques

Three-way enhanced convolutional neural networks for sentence-level sentiment classification

A method for multi-class sentiment classification based on an improved one-vs-one (OVO) strategy and the support vector machine (SVM) algorithm

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