Performance analysis of aspect-level sentiment classification task based on different deep learning models [PDF]
PeerJ Computer Science, 2023 Aspect-level sentiment classification task (ASCT) is a natural language processing task that aims to correctly identify specific aspects and determine their sentiment polarity from a given target sentence.
Feifei Cao, Xiaomin Huang
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Chinese text dual attention network for aspect-level sentiment classification. [PDF]
PLoS ONEEnglish text has a clear and compact subject structure, which makes it easy to find dependency relationships between words. However, Chinese text often conveys information using situational settings, which results in loose sentence structures, and even ...
Xinjie Sun +4 more
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An Interactive Model of Target and Context for Aspect-Level Sentiment Classification. [PDF]
Comput Intell Neurosci, 2019 Aspect-level sentiment classification aims to identify the sentiment polarity of a review expressed toward a target. In recent years, neural network-based methods have achieved success in aspect-level sentiment classification, and these methods fall into two types: the first takes the target information into account for context modelling, and the ...
Han H, Liu G, Dang J.
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Aspect-level sentiment classification with fused local and global context
Journal of Big Data, 2023 Sentiment analysis aims to determine the sentiment orientation of a text piece (sentence or document), but many practical applications require more in-depth analysis, which makes finer-grained sentiment classification the ideal solution.
Ao Feng +3 more
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Text Sentiment Classification based on Separate Embedding of Aspect and Context [PDF]
Journal of Artificial Intelligence and Data Mining, 2022 Text sentiment classification in aspect level is one of the hottest research topics in the field of natural language processing. The purpose of the aspect-level sentiment analysis is to determine the polarity of the text according to a particular aspect.
A. Lakizadeh, E. Moradizadeh
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Triplet Contrastive Learning for Aspect Level Sentiment Classification
Mathematics, 2022 The domain of Aspect Level Sentiment Classification, in which the sentiment toward a given aspect is analyzed, attracts much attention in NLP. Recently, the state-of-the-art Aspect Level Sentiment Classification methods are devised by using the Graph ...
Haoliang Xiong +4 more
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Multi-level aspect based sentiment classification of Twitter data: using hybrid approach in deep learning [PDF]
PeerJ Computer Science, 2021 Social media is a vital source to produce textual data, further utilized in various research fields. It has been considered an essential foundation for organizations to get valuable data to assess the users’ thoughts and opinions on a specific topic ...
Sadaf Hussain Janjua +3 more
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Attention Transfer Network for Aspect-level Sentiment Classification [PDF]
Proceedings of the 28th International Conference on Computational Linguistics, 2020 Accept to COLING ...
Fei Zhao 0012, Zhen Wu 0002, Xinyu Dai
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Design and Implementation of Aspect-Based Sentiment Analysis Task
Computer Sciences & Mathematics Forum, 2023 This paper presents the design and implementation of a deep-learning-based aspect-level sentiment analysis model for the aspect term extraction and sentiment polarity classification of Chinese text comments.
Ningyi Zhang
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Contextual Graph Attention Network for Aspect-Level Sentiment Classification
Mathematics, 2022 Aspect-level sentiment classification aims to predict the sentiment polarities towards the target aspects given in sentences. To address the issues of insufficient semantic information extraction and high computational complexity of attention mechanisms ...
Yuqing Miao +6 more
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