Results 21 to 30 of about 12,697 (162)

Semi-Supervised Model for Aspect Sentiment Detection

open access: yesInformation, 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

open access: yesApplied 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

Aspect-based Sentiment Analysis Based on Dual-channel Graph Convolutional Network with Sentiment Knowledge [PDF]

open access: yesJisuanji 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 [PDF]

open access: yes, 2021
Τα συστήματα Ανάλυσης Συναισθήματος Βασισμένης σε Χαρακτηριστικά (Aspect Based Sentiment Analysis, ABSA) δέχονται ως είσοδο ένα σύνολο κειμένων (π.χ. κριτικές προϊόντων ή μηνύματα κοινωνικών δικτύων) που σχολιάζουν μια συγκεκριμένη οντότητα (π.χ. ένα συγκεκριμένο μοντέλου κινητού τηλεφώνου). Επιχειρούν να εντοπίσουν τα κυριότερα (π.χ.
openaire   +1 more source

An Interactive Learning Network That Maintains Sentiment Consistency in End-to-End Aspect-Based Sentiment Analysis

open access: yesApplied 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
doaj   +1 more source

Attention-based Sentiment Reasoner for aspect-based sentiment analysis [PDF]

open access: yesHuman-centric Computing and Information Sciences, 2019
AbstractAspect-based sentiment analysis (ABSA) is a powerful way of predicting the sentiment polarity of text in natural language processing. However, understanding human emotions and reasoning from text like a human continues to be a challenge. In this paper, we propose a model, named Attention-based Sentiment Reasoner (AS-Reasoner), to alleviate the ...
Ning Liu   +4 more
openaire   +1 more source

Interventional Aspect-Based Sentiment Analysis

open access: yes, 2021
Recent neural-based aspect-based sentiment analysis approaches, though achieving promising improvement on benchmark datasets, have reported suffering from poor robustness when encountering confounder such as non-target aspects. In this paper, we take a causal view to addressing this issue.
Bi, Zhen   +5 more
openaire   +2 more sources

Deep learning-based application for multilevel sentiment analysis of Indonesian hotel reviews

open access: yesHeliyon, 2023
Purpose: In this study, we present a web-based application that retrieves hotel review documents in Indonesian languages from an online travel agent (OTA) and analyses their sentiments from the coarse-grained document to the fine-grained aspect level ...
Retno Kusumaningrum   +4 more
doaj   +1 more source

Target-Aspect-Sentiment Joint Detection for Aspect-Based Sentiment Analysis

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2020
Aspect-based sentiment analysis (ABSA) aims to detect the targets (which are composed by continuous words), aspects and sentiment polarities in text. Published datasets from SemEval-2015 and SemEval-2016 reveal that a sentiment polarity depends on both the target and the aspect.
Hai Wan   +5 more
openaire   +2 more sources

SemEval-2016 Task 5: Aspect Based Sentiment Analysis [PDF]

open access: yesProceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016
Este documento describe la tarea compartida SemEval 2016 sobre Análisis de Sentimiento Basado en Aspectos (Absa), una continuación de las tareas respectivas de 2014 y 2015. En su tercer año, la tarea proporcionó 19 conjuntos de datos de capacitación y 20 de prueba para 8 idiomas y 7 dominios, así como un procedimiento de evaluación común.
Pontiki, Maria   +18 more
openaire   +5 more sources

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