Results 21 to 30 of about 329,825 (278)

Aspect-Based Sentiment Analysis

International Journal For Multidisciplinary Research, 2023
Aspect-Based Sentiment Analysis (ABSA) is an advanced NLP application that aims to identify aspect terms present in the given review and predict the sentiment associated with those aspect terms. ABSA is better than sentence-based sentiment classification because it considers the aspect terms present in the reviews to determine the sentiment rather than
A. Punitha -, R. Keerthi Prabu -, P. Devanathan -, A. Sanjai -, P. Bala -   +4 more
openaire   +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, Abdul Razak Hamdan, Suhaila Zainudin   +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

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

Proceedings 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, Yufei Yang, Jianfeng Du, Yanan Liu, Kunxun Qi, Jeff Z. Pan   +5 more
openaire   +2 more sources

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

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, Qingrong Hua, Yaojun Mao, Junhua Wu   +3 more
doaj   +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

Survey on aspect detection for aspect-based sentiment analysis

Artificial Intelligence Review, 2022
Sentiment analysis is an important tool to automatically understand the user-generated content on the Web. The most fine-grained sentiment analysis is concerned with the extraction and sentiment classification of aspects and has been extensively studied in recent years.
Maria Mihaela Trusca, Flavius Frasincar
openaire   +1 more source

ASPECT-BASED SENTIMENT ANALYSIS METHODS IN RECENT YEARS

Asia-Pacific Journal of Information Technology and Multimedia, 2019
Sentiment Analysis (SA) is the computational treatment of opinions, sentiments and subjectivity of text. Aspect-based Sentiment Analysis (ABSA) is a specific SA that aims to extract most important aspects of an entity and predict the polarity of each ...
Zohreh Madhoushi, Abdul Razak Hamdan, Suhaila Zainudin   +2 more
doaj   +1 more source

SemEval-2016 task 5 : aspect based sentiment analysis [PDF]

, 2016
International audienceThis paper describes the SemEval 2016 shared task on Aspect Based Sentiment Analysis (ABSA), a continuation of the respective tasks of 2014 and 2015.
Al-Ayyoub, Mahmoud, Al-Smadi, Mohammad, Androutsopoulos, Ion, Apidianaki, Marianna, Bel Rafecas, Núria, Bel, Nuria, De Clercq, Orphée, Eryiğit, Gülşen, Galanis, Dimitris, Hoste, Véronique, Jiménez-Zafra, Salud María, Kotelnikov, Evgeniy, Loukachevitch, Natalia, Manandhar, Suresh, Papageorgiou, Haris, Pontiki, Maria, Qin, Bing, Tannier, Xavier, Zhao, Yanyan   +18 more
core   +4 more sources

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

Heliyon, 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, Iffa Zainan Nisa, Rahmat Jayanto, Rizka Putri Nawangsari, Adi Wibowo   +4 more
doaj   +1 more source