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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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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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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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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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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Exploring BERT for Aspect-based Sentiment Analysis in Portuguese Language
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Aspect-Based Sentiment Analysis (ABSA) is a Natural Language Processing (NLP) task that extracts referred aspects from text and assigns polarities to opinions about those aspects. Most research on ABSA focuses on English.
Émerson Philippe Lopes +5 more
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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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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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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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