Results 1 to 10 of about 3,029,250 (288)
IEEE Access, 2019 Aspect-level sentiment classification is a fine-grained sentiment analysis task. It aims to predict the sentiment of a review in different aspects. Recently many works exploit the hierarchical attention network to capture the aspect-specific sentiment ...
Yang Gao, Jianxun Liu, Pei Li, Dong Zhou
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Aspect-based sentiment classification model employing whale-optimized adaptive neural network [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2021 Nowadays in e-commerce applications, aspect-based sentiment analysis has become vital, and every consumer started focusing on various aspects of the product before making the purchasing decision on online portals like Amazon, Walmart, Alibaba, etc. Hence,
Nallathambi Balaganesh, K. Muneeswaran
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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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Sentiment Classification Method Based on BLSTM and Aspect Attention Module [PDF]
Jisuanji gongcheng, 2020 Aspect-Based Sentiment Analysis(ABSA) has been widely used in text information mining,but can hardly extract accurate feature information when the sentiment polarity of a sentence is fuzzy or a sentence has sentiment polarities of multiple aspects,which ...
PENG Zhuliang, LIU Bowen, FAN Cheng'an, WANG Jie, XIAO Ming, LIAO Zeen
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Aspect-based Sentiment Analysis Based on Dual-channel Graph Convolutional Network with Sentiment Knowledge [PDF]
Jisuanji kexue, 2023 Aspect-based sentiment analysis is a fine-grained sentiment analysis task whose goal is to classify the sentiment polarity of the given aspect terms in a sentence.Most of the current sentiment classification models build a graph neural network on the ...
YANG Ying, ZHANG Fan, LI Tianrui
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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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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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