Results 11 to 20 of about 167,833 (278)
TASCI: transformers for aspect-based sentiment analysis with contextual intent integration [PDF]
PeerJ Computer ScienceIn this article, we present a novel Transformer-Based Aspect-Level Sentiment Classification with Intent (TASCI) model, designed to enhance sentiment analysis by integrating aspect-level sentiment classification with intent analysis. Traditional sentiment
Hassan Nazeer Chaudhry +5 more
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Aspect Sentiment Classification with Aspect-Specific Opinion Spans [PDF]
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Aspect based sentiment analysis, predicting sentiment polarity of given aspects, has drawn extensive attention. Previous attention-based models emphasize using aspect semantics to help extract opinion features for classification. However, these works are either not able to capture opinion spans as a whole, or not able to capture variable-length opinion
Lu Xu 0007 +3 more
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Adaptive Local Context and Syntactic Feature Modeling for Aspect-Based Sentiment Analysis
Applied Sciences, 2023 Aspect-based sentiment analysis is a fine-grained sentiment analysis task that consists of two types of subtasks: aspect term extraction and aspect sentiment classification. In the aspect term extraction task, current methods suffer from the lack of fine-
Jie Huang, Yunpeng Cui, Shuo Wang
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Aspect-based sentiment analysis on student reviews using the Indo-Bert base model [PDF]
E3S Web of Conferences, 2023 This study aims to gain a deeper understanding of online student reviews regarding the learning process at a private university in Indonesia and to compare the effectiveness of several algorithms: Naive Bayes, K-NN, Decision Tree, and Indo-Bert ...
Jazuli Ahmad +2 more
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Applied Sciences, 2023 Most of the aspect-based sentiment analysis research completes the two subtasks (aspect terms extraction and aspect sentiment classification) separately, and it cannot see the full picture and actual effect of the complete aspect-based sentiment analysis.
Musheng Chen +3 more
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Engineering Proceedings, 2023 Students’ after-class self-evaluated comments are useful for understanding students’ learning and reflecting teacher’s teaching. Researchers and engineers have attempted to apply educational data mining techniques, such as text analysis, sentiment ...
Chih-Yueh Chou, Tzu-Yi Chuang
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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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Aspect-based Sentiment Classification with Reinforced Dependency Graph
Taiyuan Ligong Daxue xuebao, 2022 We proposed Reinforced Dependency Graph for Aspect-based Sentiment Classification (RDGSC), a reinforced dependency graph model for aspect-based sentiment classification.
Hongyang SONG, Xiaofei ZHU, Jiafeng GUO
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A survey of text aspect-based sentiment classification
Journal of Hebei University of Science and Technology, 2020 With the development of deep learning, aspect-based sentiment classification has achieved a lot of results in a single field and a single language, but there is room for improvement in multi-fields.
Shengwang LI +3 more
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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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