Results 1 to 10 of about 379,431 (345)

Deep learning for aspect-based sentiment analysis: a review. [PDF]

open access: yesPeerJ Comput Sci, 2022
User-generated content on various Internet platforms is growing explosively, and contains valuable information that helps decision-making. However, extracting this information accurately is still a challenge since there are massive amounts of data ...
Zhu L, Xu M, Bao Y, Xu Y, Kong X.
europepmc   +5 more sources

Aspect Based Sentiment Analysis with Gated Convolutional Networks [PDF]

open access: greenProceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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   +7 more sources

A Survey on Multimodal Aspect-Based Sentiment Analysis

open access: yesIEEE Access
Multimodal Aspect-Based Sentiment Analysis (MABSA), as an emerging task in the field of sentiment analysis, has recently received widespread attention. Its aim is to combine relevant multimodal data to determine the sentiment polarity of a given aspect ...
Hua Zhao   +3 more
doaj   +3 more sources

SemEval-2015 Task 12: Aspect Based Sentiment Analysis [PDF]

open access: hybridInternational Workshop on Semantic Evaluation, 2015
SemEval-2015 Task 12, a continuation of SemEval-2014 Task 4, aimed to foster research beyond sentenceor text-level sentiment classification towards Aspect Based Sentiment Analysis. The goal is to identify opinions expressed about specific entities (e.g.,
Maria Pontiki   +4 more
openalex   +2 more sources

Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis [PDF]

open access: hybridAnnual 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
openalex   +2 more sources

Unifying aspect-based sentiment analysis BERT and multi-layered graph convolutional networks for comprehensive sentiment dissection. [PDF]

open access: yesSci Rep
Aspect-Based Sentiment Analysis (ABSA) represents a fine-grained approach to sentiment analysis, aiming to pinpoint and evaluate sentiments associated with specific aspects within a text.
Aziz K   +5 more
europepmc   +2 more sources

Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training [PDF]

open access: hybridConference on Empirical Methods in Natural Language Processing, 2021
Aspect-based sentiment analysis aims to identify the sentiment polarity of a specific aspect in product reviews. We notice that about 30% of reviews do not contain obvious opinion words, but still convey clear human-aware sentiment orientation, which is ...
Zhengyan Li   +4 more
openalex   +3 more sources

Enhancing Aspect-Based Sentiment Analysis With Capsule Network [PDF]

open access: goldIEEE Access, 2020
Existing feature-based neural approaches for aspect-based sentiment analysis (ABSA) try to improve their performance with pre-trained word embeddings and by modeling the relations between the text sequence and the aspect (or category), thus heavily ...
Jindian Su, Shanshan Yu, Da Luo
doaj   +2 more sources

Distilroberta2gnn: a new hybrid deep learning approach for aspect-based sentiment analysis. [PDF]

open access: yesPeerJ Comput Sci
In the field of natural language processing (NLP), aspect-based sentiment analysis (ABSA) is crucial for extracting insights from complex human sentiments towards specific text aspects.
Alhadlaq A, Altheneyan A.
europepmc   +3 more sources

TASCI: transformers for aspect-based sentiment analysis with contextual intent integration. [PDF]

open access: yesPeerJ Comput Sci
In 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
Chaudhry HN   +5 more
europepmc   +3 more sources

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