Results 31 to 40 of about 446,831 (348)
Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis
Annual Meeting of the Association for Computational Linguistics, 2021 Aspect-based sentiment analysis is a fine-grained sentiment classification task. Recently, graph neural networks over dependency trees have been explored to explicitly model connections between aspects and opinion words.
Ruifan Li +5 more
semanticscholar +1 more source
A Multi-Task Dual-Encoder Framework for Aspect Sentiment Triplet Extraction
IEEE Access, 2022 Aspect Sentiment Triplet Extraction (ASTE) is a complex and important task in aspect-based sentiment analysis task, which aims to extract aspect-sentiment-opinion triplets from review sentences, to acquire comprehensive information for sentiment analysis.
Hai Huan +3 more
doaj +1 more source
Exploring BERT for Aspect Extraction in Portuguese Language
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Sentiment Analysis is the computer science field that comprises techniques that aim to automatically extract opinions from texts. Usually, these techniques assign a Sentiment Orientation to the whole document (Document Level Sentiment Analysis).
Émerson Lopes +2 more
doaj +1 more source
Aspect-based sentiment analysis with graph convolution over syntactic dependencies [PDF]
, 2021 Aspect-based sentiment analysis is a natural language processing task whose aim is to automatically classify the sentiment associated with a specific aspect of a written text.
Zunic, Anastazia +2 more
core +1 more source
Semi-Supervised Model for Aspect Sentiment Detection
Information, 2023 Advancements in text representation have produced many deep language models (LMs), such as Word2Vec and recurrent-based LMs. However, there are scarce works that focus on detecting implicit sentiments with a small amount of labelled data because there ...
Zohreh Madhoushi +2 more
doaj +1 more source
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
doaj +1 more source
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence [PDF]
North American Chapter of the Association for Computational Linguistics, 2019 Aspect-based sentiment analysis (ABSA), which aims to identify fine-grained opinion polarity towards a specific aspect, is a challenging subtask of sentiment analysis (SA).
Chi Sun, Luyao Huang, Xipeng Qiu
semanticscholar +1 more source
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
doaj +1 more source
Aspect Based Sentiment Analysis: Approaches and Algorithms
, 2022 The domain of Aspect-based Sentiment Analysis allows automatic extraction of the fine-grained sentiment information from text documents or sentences. Aspect based sentiment analysis is one among the three main types of sentiment analysis , where aspects ...
SOWMYA B, DR. T. JOHN PETER
core +1 more source
Aspect Based Sentiment Analysis with Gated Convolutional Networks [PDF]
Annual Meeting of the Association for Computational Linguistics, 2018 Aspect based sentiment analysis (ABSA) can provide more detailed information than general sentiment analysis, because it aims to predict the sentiment polarities of the given aspects or entities in text. We summarize previous approaches into two subtasks:
Wei Xue, Tao Li
semanticscholar +1 more source